A breast imaging method, system, and storage medium

Abstract

This specification provides a breast imaging method, system, and storage medium. The method includes: acquiring a pre-exposure image and a pressure distribution map of a target breast, wherein the pre-exposure image is acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map is acquired by a pressure sensor during the pre-exposure process; determining a target region in the pre-exposure image based on the pressure distribution map; determining target exposure parameters according to the target region and the pre-exposure image corresponding to the pre-exposure parameters; and controlling the breast scanning device to perform a target scan on the target breast based on the target exposure parameters to obtain a target exposure image.

Description

Technical Field

[0001] This specification relates to the field of medical imaging technology, and in particular to a breast imaging method, system, and storage medium. Background Technology

[0002] Breast cancer is a common cancer affecting women's health. Early detection, diagnosis, and treatment can significantly reduce mortality. Medical imaging is a crucial measure for breast cancer screening and diagnosis, with mammography being a commonly used method for diagnosing breast diseases. The breast imaging process involves multiple steps, including breast positioning, setting scanning parameters, scanning, and interpretation of images by the physician. Current breast imaging methods require significant manual intervention from the physician in these steps, such as manually checking the accuracy of positioning and manually setting parameters. This results in low scanning efficiency, a heavy workload for physicians, and is also prone to inaccurate scanning parameters due to human error, affecting scan quality.

[0003] Therefore, a breast imaging method, system, and storage medium are provided to improve the efficiency and accuracy of breast imaging. Summary of the Invention

[0004] This specification provides one or more embodiments of a breast imaging method. The method includes: acquiring a pre-exposure image and a pressure distribution map of a target breast, wherein the pre-exposure image is acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map is acquired by a pressure sensor during the pre-exposure process; determining a target region in the pre-exposure image based on the pressure distribution map; determining target exposure parameters according to the target region and the pre-exposure image corresponding to the pre-exposure parameters; and controlling the breast scanning device to perform a target scan on the target breast based on the target exposure parameters to obtain a target exposure image.

[0005] In some embodiments of this specification, the pressure sensor is disposed on the surface of the compression plate and / or support platform that is in contact with the mammary gland.

[0006] This specification provides a breast imaging method through one or more embodiments. The method includes: determining a reference lesion region in a pressure distribution map based on a lesion threshold; and determining a target region in a pre-exposed image based on the reference lesion region.

[0007] This specification provides a breast imaging method through one or more embodiments. The method includes: determining multiple candidate sub-regions based on the distribution of multiple pressure values ​​corresponding to the multiple sub-regions; and determining a lesion threshold based on the multiple pressure values ​​corresponding to the multiple candidate sub-regions.

[0008] This specification provides one or more embodiments of a breast imaging method. The method includes: acquiring a dynamic pressure distribution map collected by a pressure sensor during the process of the target breast being compressed into the compressed state; determining the lesion depth information based on the dynamic pressure distribution map; and determining the lesion threshold according to the setting position of the pressure sensor and the lesion depth information.

[0009] This specification provides one or more embodiments of a breast imaging method. The method includes: acquiring a dynamic pressure distribution map collected by a pressure sensor during the process of the target breast being compressed into the compressed state; determining the lesion depth information based on the dynamic pressure distribution map; and determining the lesion threshold according to the setting position of the pressure sensor and the lesion depth information.

[0010] This specification provides one or more embodiments of a breast imaging method. The method includes: determining the average gray level of the target region; determining a correlation factor based on the average gray level and the target gray level of the target exposure image; and determining the target exposure parameters according to the pre-exposure parameters corresponding to the pre-exposure image and the correlation factor.

[0011] This specification provides one or more embodiments of a breast imaging method. The method includes: controlling a breast scanning device to compress a target breast to obtain a first pressure distribution map of the target breast, the first pressure distribution map being acquired by a pressure sensor of the target breast under compression; determining, based on the first pressure distribution map, whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan; and, in response to determining that the current positioning of the target breast is consistent with the target positioning, controlling the breast scanning device to perform the pre-exposure of the target breast.

[0012] This specification provides one or more embodiments of a breast imaging method. The method includes: acquiring a dynamic pressure distribution map, the dynamic pressure distribution map being collected by a pressure sensor during the process of a target breast being compressed to the compressed state; determining lesion information related to the target breast based on the dynamic pressure distribution map, the lesion information including at least lesion location information and lesion benign or malignant information; and adding markers related to the lesion information to the exposed image of the target breast for image display.

[0013] This specification provides one or more embodiments of a breast imaging system. The system includes: an acquisition module for acquiring a pre-exposure image and a pressure distribution map of a target breast, wherein the pre-exposure image is acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map is acquired by a pressure sensor during the pre-exposure process; and a determination module for: determining a target region in the pre-exposure image based on the pressure distribution map; determining target exposure parameters according to the target region and the pre-exposure parameters corresponding to the pre-exposure image; and controlling the breast scanning device to perform a target scan on the target breast based on the target exposure parameters to obtain a target exposure image.

[0014] This specification provides one or more embodiments of a breast imaging method. The method includes: controlling a breast scanning device to compress a target breast to obtain a pressure distribution map of the target breast, the pressure distribution map being acquired by a pressure sensor of the target breast under compression; determining, based on the pressure distribution map, whether the current positioning of the target breast is consistent with the target positioning corresponding to a target scan; in response to determining that the current positioning of the target breast is inconsistent with the target positioning, issuing a prompt to adjust the current positioning of the target breast; and in response to determining that the current positioning of the target breast is consistent with the target positioning, controlling the breast scanning device to perform the target scan on the target breast.

[0015] One or more embodiments of this specification provide a breast imaging system. The system includes: a control module for controlling a breast scanning device to compress a target breast to obtain a pressure distribution map of the target breast, the pressure distribution map being acquired by a pressure sensor of the target breast under compression; and a determination module for: determining, based on the pressure distribution map, whether the current positioning of the target breast is consistent with the target positioning corresponding to a target scan; issuing a prompt to adjust the current positioning of the target breast in response to determining that the current positioning of the target breast is inconsistent with the target positioning; and controlling the breast scanning device to perform the target scan on the target breast in response to determining that the current positioning of the target breast is consistent with the target positioning.

[0016] One or more embodiments of this specification provide a breast imaging method. The method includes: controlling a breast scanning device to compress a target breast to obtain a pressure distribution map of the target breast, the pressure distribution map being acquired by a pressure sensor on the target breast under compression; determining lesion identification results and breast density of the target breast based on the pressure distribution map; determining target scanning parameters based on the lesion identification results and breast density; and controlling the breast scanning device to perform a target scan on the target breast based on the target scanning parameters.

[0017] One or more embodiments of this specification provide a breast imaging system. The system includes: an acquisition module configured to control a breast scanning device to compress a target breast to acquire a pressure distribution map of the target breast, the pressure distribution map being acquired by a pressure sensor on the target breast under compression; a determination module configured to determine lesion identification results and breast density of the target breast based on the pressure distribution map; and to determine target scanning parameters based on the lesion identification results and the breast density; and a control module configured to control the breast scanning device to perform a target scan on the target breast based on the target scanning parameters.

[0018] One or more embodiments of this specification provide a breast imaging method. The method includes: controlling a breast scanning device to compress a target breast, and acquiring a dynamic pressure distribution map of the target breast collected by a pressure sensor during the compression process; controlling the breast scanning device to perform a target scan on the compressed target breast to acquire a target exposure image; determining lesion information related to the target breast based on the dynamic pressure distribution map, the lesion information including at least lesion location information and lesion benign / malignant information; and associating the lesion information from the dynamic pressure distribution map with the lesion information in the target exposure image based on the lesion information.

[0019] One or more embodiments of this specification provide a breast imaging system. The system includes: an acquisition module configured to control a breast scanning device to compress a target breast and acquire a dynamic pressure distribution map of the target breast collected by a pressure sensor during the compression process; and to control the breast scanning device to perform a target scan on the compressed target breast to acquire a target exposure image; a determination module configured to determine lesion information related to the target breast based on the dynamic pressure distribution map, the lesion information including at least lesion location information and lesion benign / malignant information; and a labeling module configured to associate the lesion information in the dynamic pressure distribution map with the lesion information in the target exposure image based on the lesion information.

[0020] One or more embodiments of this specification provide a computer-readable storage medium that stores computer instructions, which, when read by a computer, enable the computer to perform a breast imaging method. Attached Figure Description

[0021] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein:

[0022] Figure 1 These are schematic diagrams illustrating application scenarios of the breast imaging system according to some embodiments of this specification;

[0023] Figure 2 This is a schematic diagram of a breast imaging system according to some embodiments of this specification;

[0024] Figure 3 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification;

[0025] Figure 4 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification;

[0026] Figure 5 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification;

[0027] Figures 6A-6C This is a schematic diagram illustrating a method for determining whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan, according to some embodiments of this specification;

[0028] Figure 7A This is a schematic diagram of the current placement corresponding to the first pressure distribution diagram shown in some embodiments of this specification;

[0029] Figure 7B This is a schematic diagram of the reference pressure distribution corresponding to the target placement shown in some embodiments of this specification;

[0030] Figure 8 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification;

[0031] Figure 9 This is a schematic diagram illustrating the determination of a target region in a pre-exposure image according to some embodiments of this specification;

[0032] Figure 10 This is a flowchart illustrating a method for determining a judgment threshold according to some embodiments of this specification;

[0033] Figure 11 This is a flowchart illustrating a method for determining target exposure parameters according to some embodiments of this specification;

[0034] Figure 12 This is a flowchart illustrating a method for target scanning of a target breast according to some embodiments of this specification;

[0035] Figure 13A This is a flowchart illustrating a method for determining lesion identification results in a target breast, as shown in some embodiments of this specification;

[0036] Figure 13BThis is a schematic diagram of a first pressure distribution diagram shown according to some embodiments of this specification;

[0037] Figure 13C This is a schematic diagram of the partitioning results corresponding to the first pressure distribution map shown in some embodiments of this specification;

[0038] Figure 14 This is a flowchart illustrating another method for target scanning of a pair of target breasts according to some embodiments of this specification;

[0039] Figure 15 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification;

[0040] Figure 16A This is a flowchart illustrating a method for displaying a target exposure image according to some embodiments of this specification;

[0041] Figure 16B This is a schematic diagram of a dynamic pressure distribution diagram according to some embodiments of this specification;

[0042] Figure 16C This is a schematic diagram of a target pressure distribution map and a marked target exposure image, as shown in some embodiments of this specification.

[0043] Figure 16D This is a schematic diagram of a dual-modal fused image according to some embodiments of this specification;

[0044] Figure 17 This is a flowchart illustrating a method for determining lesion information related to a target breast, according to some embodiments of this specification. Detailed Implementation

[0045] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0046] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0047] Unless the context clearly indicates an exception, words such as "a," "an," "a kind," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of explicitly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0048] Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0049] Figure 1 This is a schematic diagram illustrating application scenarios of a breast imaging system according to some embodiments of this specification.

[0050] like Figure 1 As shown, the application scenario 100 of the breast imaging system may include a processing device 110, a network 120, a terminal device 130, a storage device 140, and a breast scanning device 150.

[0051] The processing device 110 can process data and / or information obtained from the terminal device 130, the storage device 140, and the breast scanning device 150. For example, the processing device 110 can acquire a pressure distribution map before scanning and / or a pressure distribution map during scanning acquired by the breast scanning device 150. As another example, the processing device 110 can determine target scanning parameters based on the pre-scan pressure distribution map and control the breast scanning device 150 to perform a target scan on the target breast based on the target scanning parameters. Yet another example is that the processing device 110 can acquire a target exposure image of the breast scanning device 150 during the target scan.

[0052] In some embodiments, the processing device 110 may be integrated into the breast scanning device 150. In some embodiments, the processing device 110 may be a single server or a group of servers. In some embodiments, the processing device 110 may be local or remote. The processing device 110 may be directly connected to the terminal device 130, the storage device 140, and the breast scanning device 150 to access stored or acquired information and / or data. In some embodiments, the processing device 110 may be implemented on a cloud platform. By way of example only, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-tiered cloud, etc., or any combination thereof. In some embodiments, the processing device 110 may be a distributed group of servers, which may include multiple server nodes.

[0053] Network 120 may include any suitable network that facilitates the exchange of information and / or data within application scenario 100. In some embodiments, one or more components of application scenario 100 (e.g., terminal device 130, processing device 110, storage device 140, or breast scanning device 150) may transmit information and / or data with one or more other components of application scenario 100 via network 120. For example, processing device 110 may acquire pressure distribution maps and / or exposure images from breast scanning device 150 and / or storage device 140 via network 120.

[0054] In some embodiments, network 120 can be any one or more of wired or wireless networks. In some embodiments, the network can be various topologies such as point-to-point, shared, centralized, or a combination of multiple topologies.

[0055] Terminal device 130 may include mobile device 130-1, tablet computer 130-2, laptop computer 130-3, etc., or any combination thereof. In some embodiments, terminal device 130 may interact with other components in application scenario 100 via network 120. In some embodiments, terminal device 130 may receive information and / or instructions input by a user and send the received information and / or instructions to processing device 110 via network 120. For example, terminal device 130 may receive instructions from a user (such as a medical professional) to acquire a tagged target exposure image from breast scanning device 150 and / or storage device 140 via network 120, and display the image, etc.

[0056] Storage device 140 may store data and / or instructions. In some embodiments, storage device 140 may store data acquired from processing device 110, terminal device 130, and / or breast scanning device 150. For example, storage device 140 may store data collected by breast scanning device 150 (such as pressure distribution maps). In some embodiments, storage device 140 may store data and / or instructions used by processing device 110 to perform the exemplary methods described herein. For example, storage device 140 may store instructions from processing device 110 to perform the methods shown in the flowcharts. In some embodiments, storage device 140 may include a mass storage device, a removable storage device, volatile read-write memory, read-only memory (ROM), etc., or any combination thereof. In some embodiments, storage device 140 may be implemented on a cloud platform. In some embodiments, storage device 140 may be part of processing device 110.

[0057] The breast scanning device 150 is a medical device that can be used to image a patient's target breast, which may include, but is not limited to, mammography imaging devices, digital breast tomosynthesis (DBT) devices, full-field digital mammography (FFDM), contrast-enhanced digital mammography (CEDM), and contrast-enhanced digital breast tomosynthesis (CEDBT).

[0058] In some embodiments, the breast scanning device 150 includes a breast compression device for compressing a target breast of a patient. For example... Figure 1 As shown, the breast compression device includes a support platform 151 and a compression plate 152. The support platform 151 can be used to place the patient's target breast (such as the left or right breast). The compression plate 152 is disposed opposite to the support platform 151 and can be used to compress (squeeze) the target breast, thereby causing deformation of the target breast.

[0059] The breast scanning device 150 can control the movement (e.g., translation) of the compression plate 152 towards the support platform 151 using different compression force parameters (e.g., 5N, 10N). This reduces the distance between the compression plate 152 (lower surface) and the support platform 151 (upper surface), thereby compressing the target breast placed on the upper surface of the support platform 151. This distance can be referred to as the compression thickness. When the preset compression thickness is reached, the compression plate 152 stops moving, and the target breast remains under stable compression.

[0060] It should be noted that the target breast can be compressed when it is in a preset position. Positioning can be achieved by instructing the patient to adjust the posture of the target breast, or by adjusting the rotation angle of the breast compression device. For example, the patient can place their target breast on the upper surface of the support platform 151 in a vertical standing position, and the breast scanning device 150 can control the rotation of the breast compression device to compress different sides of the target breast (such as the left and right sides).

[0061] The breast scanning device 150 may further include a pressure sensor for acquiring pressure information of the target breast when and / or after compression. The pressure information may include pressure values, pressure intensity values, etc. In some embodiments, the pressure sensor may include a thin-film pressure sensor. Figure 1As shown, the pressure sensor may include a thin-film pressure sensor 153-1 disposed on the upper surface of the support platform 151 and / or a thin-film pressure sensor 153-2 disposed on the lower surface of the compression plate 152. The upper surface of the support platform 151 and the lower surface of the compression plate 152 refer to the surfaces that are in contact (fitted) with the target mammary gland. In some embodiments, the pressure sensor includes a sensor array composed of a plurality of pressure sensing units. In some embodiments, the pressure sensor may include one or more combinations of strain gauge pressure sensors, piezoresistive pressure sensors, piezoelectric pressure sensors, resonant pressure sensors, thin-film pressure sensors, microelectromechanical system (MEMS) pressure sensors, etc.

[0062] Pressure data collected by a pressure sensor at a specific moment can be represented by a pressure distribution map. This map includes the pressure values ​​(such as pressure values ​​or pressure intensity values) corresponding to different regions of the target breast (e.g., fat regions, glandular regions, lesions) at that moment. Pressure data collected by a pressure sensor over a period of time can be represented by a dynamic pressure distribution map. For example, a dynamic pressure distribution map reflects the pressure changes of the target breast during compression (from the start of compression to the state of compression), and it can include pressure distribution maps corresponding to multiple moments during the compression process.

[0063] In some embodiments, each pixel in the pressure distribution map may correspond to a physical point on the target breast. The size of each pixel may be determined based on settings. For example, a pixel may be an a×a square, where a is a preset value, and each square may be considered a sub-region in the pressure distribution map. The pressure value of each physical point can be represented by the grayscale value of the corresponding pixel. The pressure value of each physical point may also be identified by the color of the corresponding pixel. For example, when the pressure value of the physical point is in the first pressure range, the corresponding pixel is identified in red; when the pressure value of the physical point is in the second pressure range, the corresponding pixel is identified in yellow; and when the pressure value of the physical point is in the third pressure range, the corresponding pixel is identified in blue.

[0064] Pressure distribution maps can reflect the distribution of different breast tissues (such as adipose tissue, glandular tissue, lesions, etc.) within a target breast. It's understood that different breast tissues have different hardness / density; when a compression plate applies pressure with the same parameters (such as compression thickness and force), the pressure values ​​received by the pressure sensor will differ. For example, the hardness of adipose tissue, glandular tissue, benign masses, and malignant masses increases sequentially, corresponding to an increase in pressure values ​​and a corresponding increase in the value of the corresponding pixel in the pressure distribution map.

[0065] In some embodiments, the breast scanning device 150 includes components such as a radiation source and a detector for acquiring exposure images of the target breast. For example, the breast scanning device 150 can scan the target breast under compression based on target scanning parameters (such as target scanning angle and target exposure parameters) to acquire target exposure images of the target breast.

[0066] Application scenario 100 may also include other components, such as a voice acquisition device for acquiring voice feedback information from the target patient when the target breast is compressed.

[0067] The above description is for illustrative purposes only, and actual application scenarios may vary. It should be noted that application scenario 100 is provided for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art can make various modifications or variations based on the description in this specification. However, these modifications and variations will not depart from the scope of this specification.

[0068] Figure 2 This is a schematic diagram of a breast imaging system according to some embodiments of this specification. For example... Figure 2 As shown, the breast imaging system 200 may include an acquisition module 210, a control module 220, a determination module 230, and / or a labeling module 240.

[0069] The acquisition module 210 can be used to acquire a pre-exposure image and a pressure distribution map of the target breast. In some embodiments, the pre-exposure image can be acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map can be acquired by a pressure sensor during the pre-exposure process. In some embodiments, the acquisition module 210 can be configured to control the breast scanning device to compress the target breast to acquire the pressure distribution map of the target breast. In some embodiments, the pressure distribution map is acquired by a pressure sensor on the target breast under compression. In some embodiments, the acquisition module 210 can be configured to perform one or more of the following operations: control the breast scanning device to compress the target breast and acquire a dynamic pressure distribution map of the target breast acquired by the pressure sensor during the compression process; and control the breast scanning device to perform a target scan on the compressed target breast to acquire a target exposure image.

[0070] The control module 220 can be used to control the breast scanning device to compress the target breast to obtain a pressure distribution map of the target breast. In some embodiments, the pressure distribution map can be obtained by a pressure sensor on the target breast under compression. In some embodiments, the control module 220 can be configured to control the breast scanning device to perform a target scan on the target breast based on the target scanning parameters.

[0071] The determining module 230 can be used to perform one or more of the following operations: determining a target region in the pre-exposure image based on the pressure distribution map; determining target exposure parameters according to the target region and the pre-exposure parameters corresponding to the pre-exposure image; and controlling the breast scanning device to perform a target scan on the target breast based on the target exposure parameters to obtain a target exposure image. In some embodiments, the determining module 230 can be used to perform one or more of the following operations: determining whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan based on the pressure distribution map; issuing a prompt to adjust the current positioning of the target breast in response to determining that the current positioning of the target breast is inconsistent with the target positioning; and controlling the breast scanning device to perform the target scan on the target breast in response to determining that the current positioning of the target breast is consistent with the target positioning. In some embodiments, the determining module 230 can be used to perform one or more of the following operations: determining the lesion identification result and breast density of the target breast based on the pressure distribution map; and determining target scan parameters based on the lesion identification result and the breast density. In some embodiments, the determining module 230 may be used to perform one or more of the following operations: determining lesion information related to the target breast based on the dynamic pressure distribution map. In some embodiments, the lesion information includes at least lesion location information and lesion benign or malignant information.

[0072] The labeling module 240 can be used to associate the lesion information in the dynamic pressure distribution map with the lesion information in the target exposure image based on the lesion information.

[0073] Figure 3 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification. In some embodiments, process 300 may be implemented by a breast imaging system (such as processing device 110). Figure 3 As shown, process 300 includes the following steps 310-370. Among them, steps 310-340 are performed before target scanning and are used for preparation work for target scanning.

[0074] Step 310: Apply pressure to the target mammary gland to acquire a first pressure distribution map.

[0075] The processing device 110 can control the breast scanning device to compress the target breast to obtain a first pressure distribution map of the target breast. The implementation of step 310 is the same as step 510 described below.

[0076] Step 320: Perform a positioning check based on the first pressure distribution map.

[0077] The processing device 110 can determine whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan based on the first pressure distribution map, thereby determining whether the positioning is correct. If the current positioning is consistent with the target positioning corresponding to the target scan, it indicates that the positioning is correct, and the processing device 110 executes step 330. Otherwise, if the positioning is incorrect, the processing device 110 continues to return to execute steps 310 and 320.

[0078] In some embodiments, when the positioning is incorrect, the breast system can also issue a positioning adjustment prompt to assist the patient in adjusting the current positioning of the target breast, or to prompt medical staff to adjust the positioning of the target breast for the patient. After positioning adjustment, the processing device 110 repeats steps 310 and 320 until the current positioning matches the target positioning. For more information on positioning checks, please refer to [link to relevant documentation]. Figure 5 And its description.

[0079] Step 330: Obtain the pre-exposure image and the second pressure distribution map.

[0080] The processing device 110 can control a breast imaging device to pre-expose the target breast based on pre-exposure parameters to obtain a pre-exposure image. Simultaneously, the processing device 110 can acquire a pressure distribution map collected by a pressure sensor during the pre-exposure, serving as a second pressure distribution map. The second pressure distribution map is acquired simultaneously with the pre-exposure image, reflecting the pressure distribution of the target breast under compression at the time the pre-exposure image was acquired. For more information on pre-exposure images and second pressure distribution maps, please refer to [link to relevant documentation]. Figure 8 And its description.

[0081] In some embodiments, the second pressure distribution map may also be the first pressure distribution map acquired before acquiring the pre-exposure image, i.e., the first and second pressure distribution maps are from the same image. A detailed description of the first pressure distribution map can be found in the relevant description of step 310.

[0082] Step 340: Determine the target exposure parameters based on the pre-exposure image and the second pressure distribution map.

[0083] In some embodiments, the processing device 110 may determine the target region in the pre-exposure image based on the second pressure distribution map, and determine the target exposure parameters according to the target region and the pre-exposure parameters corresponding to the pre-exposure image. For more related content, see [link to relevant documentation]. Figure 8And its description.

[0084] Step 350: Perform target scanning based on target exposure parameters to obtain target exposure image.

[0085] In some embodiments, the processing device 110 can control the breast scanning device to perform a target scan on the target breast based on the target exposure parameters to obtain a target exposure image.

[0086] Step 360: Obtain the dynamic pressure distribution map.

[0087] A dynamic pressure distribution map reflects the change in pressure values ​​over time as the target breast tissue transitions from a compressed state to a compressed state. The compression states of the target breast tissue in the first and second pressure distribution maps may be the same or different. For example, if the target breast tissue is compressed based on the target compression parameters corresponding to the target scan in step 310, then there is no need to adjust the compression in step 330; the dynamic pressure distribution map can be collected during the compression process of the target breast tissue when performing step 310 before the positioning examination. If the target breast tissue is compressed based on the initial compression parameters in step 310, then it is necessary to re-compress the target breast tissue based on the target compression parameters in step 330; the dynamic pressure distribution map can be collected during the compression process based on the target compression parameters. More information about dynamic pressure distribution maps can be found elsewhere in this specification (e.g., Figure 15 ).

[0088] Step 370: Add markers to the target exposure image based on the dynamic pressure distribution map.

[0089] The processing device 110 can analyze and process the dynamic pressure distribution map to determine lesion information related to the target breast. The lesion information includes, but is not limited to, information on the benign or malignant nature of the lesion and information on the location of the lesion (such as planar location and depth).

[0090] The markings added to the target exposure image can be based on lesion information. For example, marking the location (e.g., outline), color, etc., of the lesion. The marked target exposure image can be used for display on a terminal device (e.g., terminal device 130) to assist users (e.g., medical personnel) in image interpretation and / or diagnostic analysis. More information about target exposure images and markings can be found elsewhere in this specification (e.g., Figure 15 , 16A ).

[0091] In some embodiments of this specification, by acquiring pressure distribution maps and pre-exposure images during the scan preparation stage, more accurate exposure parameters can be obtained, reducing the acquisition of invalid images during the scan stage, and reducing unnecessary radiation exposure to patients or medical staff.

[0092] Figure 4 This is a flowchart illustrating another breast imaging method according to some embodiments of this specification.

[0093] In some embodiments, process 400 can be implemented by processing device 110, such as Figure 4 As shown, process 400 includes the following steps.

[0094] Step 410: Apply pressure to the target mammary gland to acquire a first pressure distribution map.

[0095] The processing device 110 can control the breast scanning device to compress the target breast based on the initial compression parameters in order to acquire a first pressure distribution map.

[0096] Step 420: Perform a positioning check based on the first pressure distribution map.

[0097] The execution method of step 420 is similar to that of step 320, and will not be repeated here.

[0098] Step 430: Determine the target scanning parameters based on the first pressure distribution map.

[0099] The processing device 110 can determine the lesion identification result and breast density of the target breast based on the first pressure distribution map, and determine the target scanning parameters based on the lesion identification result and breast density. It should be noted that the processing device 110 can directly determine the target scanning parameters based on the first pressure distribution map. The target scanning parameters may include target compression parameters, target scanning angle, and target exposure parameters. As an example only, the lower the breast density, the smaller the target scanning angle can be set. More information on determining target scanning parameters based on the first pressure distribution map can be found elsewhere in this specification (e.g., Figure 12 ).

[0100] Step 440: Adjust the pressure and scan the target based on the target scanning parameters to obtain the target exposure image.

[0101] The processing device 110 can adjust the pressure of the breast scanning device on the target breast based on the target compression parameters, and control the breast scanning device to perform target scanning on the target breast based on the target scanning angle and target exposure parameters. See more details. Figure 12 And its description.

[0102] Step 450: Obtain the dynamic pressure distribution map.

[0103] The dynamic pressure distribution map in step 450 refers to the dynamic pressure distribution map collected by the pressure sensor during the process of the breast scanning device compressing the target breast based on the target compression parameters.

[0104] Step 460: Add markers to the target exposure image based on the dynamic pressure distribution map.

[0105] Processing device 110 can perform step 460 in a similar manner to step 370. Further details are omitted here.

[0106] In some embodiments of this specification, by acquiring pressure distribution maps during the scan preparation stage to perform positioning checks and determine target scan parameters, pre-exposure of the patient can be avoided, thereby reducing radiation exposure to the patient; at the same time, scan parameters can be automatically and accurately determined, thereby avoiding excessive reliance on the subjective judgment of users (such as medical staff) and reducing the workload during the scan preparation stage.

[0107] Figure 5 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification. In some embodiments, the processing device 110 or the breast imaging system 200 may execute process 500. Figure 5 As shown, process 500 may include the following steps.

[0108] Step 510: Control the breast scanning device to compress the target breast to obtain a first pressure distribution map of the target breast. The first pressure distribution map is acquired by a pressure sensor on the target breast under compression.

[0109] The target breast refers to the breast of the target individual (such as a patient) for which medical diagnosis (such as tumor detection or treatment) is required, such as the patient's left or right breast. The target breast includes glandular tissue and adipose tissue, and may also include benign and / or malignant masses.

[0110] The first pressure distribution map refers to the pressure distribution map acquired by a pressure sensor on the target breast tissue under compression before scanning. Compression state refers to the state of the target breast tissue after being compressed based on preset compression parameters.

[0111] In some embodiments, the processing device 110 controls the compression plate to compress the target breast based on initial compression parameters. Exemplarily, the initial compression parameters may include, but are not limited to, initial compression thickness and initial compression force. After compression is completed, the pressure distribution map acquired by the pressure sensor can be used as a first pressure distribution map. Compression of the target breast based on the initial compression parameters before target scanning can also be referred to as pre-compression. Pre-compression is used to obtain the first pressure distribution map for preparatory work before target scanning (such as positioning checks and determination of target scanning parameters).

[0112] The initial compression parameters can be system defaults or user-defined. Alternatively, the initial compression parameters can be determined based on patient information (such as age, height, breast size, body type, etc.). In some embodiments, the initial compression parameters can be determined based on the patient's medical history. For example, the initial compression parameters can be determined based on the target compression thickness and / or compression intensity corresponding to the most recent diagnosed case. Considering the patient's information and / or medical history allows for faster determination of the initial compression parameters, thereby improving the efficiency of pre-scan preparation.

[0113] In some embodiments, if the target compression parameters corresponding to the target scan have been determined, the processing device 110 controls the compression plate to compress the target mammary gland based on the target compression parameters, and uses the pressure distribution map collected by the pressure sensor after the compression is completed as the first pressure distribution map.

[0114] Step 520: Based on the first pressure distribution map, determine whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan.

[0115] The current positioning of the target breast refers to its positioning at the moment of acquisition of the first pressure distribution map. The target positioning corresponding to the target scan refers to the positioning of the target breast that needs to be maintained during the target scan. Exemplary positioning includes craniocaudal, oblique, and auxiliary positions (such as oblique lateral). As an example only, when it is necessary to image the vertical and lateral regions of the target breast, the target positioning is craniocaudal (CC) and medial-lateral oblique (MLO).

[0116] Figure 6A , Figure 6B and Figure 6C This is a schematic diagram illustrating a method for determining whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan, according to some embodiments of this specification.

[0117] like Figure 6A As shown, the processing device 110 can determine the current positioning by analyzing the pressure value distribution in the first pressure distribution map. For example, the processing device 110 can divide the first pressure distribution map into multiple sub-regions, identify areas within these sub-regions where the pressure value (e.g., average pressure) is greater than 0, and determine the current positioning based on the pressure value distribution in these areas. For example, the pressure value distribution in these areas can be analyzed to identify lesion areas, glandular areas, and fat areas, and the current positioning can be determined based on the corresponding positions of these areas in the first pressure distribution map. More details regarding sub-region division and the determination of different regions can be found in the relevant description in Figure 13.

[0118] Figure 7AThis is a schematic diagram of the current placement corresponding to the first pressure distribution diagram shown in some embodiments of this specification. For example... Figure 7A As shown, the processing device 110 can determine the current positioning as right inner breast oblique position (RMLO) based on the outer contour and / or shape of the area with pressure values ​​in the first pressure distribution map.

[0119] Furthermore, the processing device 110 can compare the current positioning with the target positioning to determine whether the current positioning of the target breast is consistent with the target positioning. For example, continuing the example above, if the target positioning is RMLO, then the current positioning of the target breast is consistent with the target positioning.

[0120] like Figure 6B As shown, the processing device 110 can input the first pressure distribution map into the judgment model to obtain the current position output by the judgment model.

[0121] The judgment model is used to determine the placement corresponding to a pressure distribution map. In some embodiments, the judgment model may be one or more combinations of Convolutional Neural Networks (CNN) models, Deep Networks (DNN) models, etc. In some embodiments, the judgment model may be trained based on a sample training set. The training sample set may include multiple training samples and multiple training labels corresponding to the multiple training samples. The training samples may be historical pressure distribution maps collected from historical scans, and the training labels may be the placement corresponding to the historical pressure distribution map. The training labels may be determined manually by the user.

[0122] Furthermore, the processing device 110 can compare the current positioning with the target positioning to determine whether the current positioning of the target mammary gland is consistent with the target positioning.

[0123] like Figure 6C As shown, the processing device 110 can acquire a reference pressure distribution map corresponding to the target positioning based on the scanning protocol of the target scan. The reference pressure distribution map can reflect the pressure distribution of the target breast under the target positioning. In some embodiments, the processing device 110 can predict the reference pressure distribution map of the target breast under the target positioning and preset compression parameters through data simulation. For example, the processing device 110 can build a breast model based on historical scan images of the target breast, and then perform data simulation based on the breast model to obtain the reference pressure distribution map. In some embodiments, the processing device 110 can acquire the pressure distribution map of the reference breast under the target positioning and preset compression parameters as the reference pressure distribution map. The reference breast can be a breast that has previously undergone positioning or scanning with the target positioning and preset compression parameters. Figure 7BThis is a schematic diagram of the reference pressure distribution corresponding to the target placement shown in some embodiments of this specification. For example... Figure 7B As shown, when the target position is the left inner breast oblique position (LMLO), the processing device 110 can obtain the reference pressure distribution map corresponding to the target position.

[0124] Furthermore, the processing device 110 can obtain the similarity between the first pressure distribution map and the reference pressure distribution map. The similarity between the first pressure distribution map and the reference pressure distribution map is a parameter used to evaluate the degree of consistency between the first pressure distribution map and the reference pressure distribution map. The greater the similarity, the higher the consistency between the first pressure distribution map and the reference pressure distribution map. In some embodiments, the processing device 110 can determine the similarity between the first pressure distribution map and the reference pressure distribution map using one or more of the following methods: pixel value comparison, feature point comparison, histogram comparison, content-based image retrieval. In some embodiments, the processing device 110 can first convert the first pressure distribution map and the reference pressure distribution map into binary images, and then calculate the similarity between the binary images. This method can avoid image differences caused by differences in the tissue composition of the breast tissue in the first pressure distribution map and the reference pressure distribution map, making the similarity more accurately reflect the differences in breast placement in the first pressure distribution map and the reference pressure distribution map, and avoiding the influence of individual patient differences (such as differences in breast disease conditions) on the accuracy of the judgment.

[0125] Furthermore, the processing device 110 can determine whether the current positioning of the target breast is consistent with the target positioning based on similarity. In some embodiments, in response to determining that the similarity is greater than or equal to a similarity threshold, the processing device 110 can determine that the current positioning of the target breast is consistent with the target positioning; in response to determining that the similarity is less than the similarity threshold, the processing device 110 can determine that the current positioning of the target breast is inconsistent with the target positioning. The similarity threshold can be a system default setting or a manually set value.

[0126] Step 530: In response to the determination that the current positioning of the target breast is inconsistent with the target positioning, a prompt is issued to adjust the current positioning of the target breast.

[0127] In some embodiments, the processing device 110 may, based on the terminal device 130, prompt the user to adjust the current position of the target mammary gland through text, voice, vibration, or other means.

[0128] Step 540: In response to determining that the current positioning of the target breast is consistent with the target positioning, control the breast scanning device to perform target scanning on the target breast.

[0129] In response to determining that the current positioning of the target breast is consistent with the target positioning, the processing device 110 can perform a target scan on the target breast based on target scanning parameters (such as target compression parameters, target exposure parameters, target scanning angle, etc.) in the target scanning protocol. In some embodiments, the target scanning protocol can be preset in advance, such as by the user.

[0130] In some embodiments, target scanning is performed based on target exposure parameters, and the processing device 110 executes... Figure 8 The process 800 in the process determines the target exposure parameters and controls the breast scanning device to perform a target scan based on the target exposure parameters. In some embodiments, the processing device 110 performs... Figure 12 The process 1200 in the middle determines the target scanning parameters based on the first pressure distribution map, and controls the breast scanning device to perform target scanning based on the target scanning parameters.

[0131] In some embodiments, the processing device 110 may further acquire a dynamic pressure distribution map, which is collected by a pressure sensor during the process from when the target breast is compressed (i.e., pressure is initially applied) to when the compression state (i.e., the pressure reaches a set threshold). Based on the dynamic pressure distribution map, lesion information related to the target breast is determined, including at least the location and benign / malignant information of the lesion. Based on the lesion information, markers related to the lesion information are added to the target exposure image acquired during the target scan for image display. Further details regarding the dynamic pressure distribution map and marker addition can be found in steps 360 and... Figure 15 The relevant description of process 1500.

[0132] In some embodiments, such as Figure 5 As shown, process 500 further includes steps 550 and 560.

[0133] Step 550: In response to determining that the current positioning of the target breast is consistent with the target positioning, the relative position of the region of interest to the chest wall side is determined based on the first pressure distribution map.

[0134] The region of interest is the area in the first pressure distribution map where lesions (such as masses) may be present. For example, as... Figure 7A The region of interest shown (represented by a white dashed arc in the figure) can include the lesion area. The chest wall side is the side of the pressure sensor closest to the patient's standing position in the first pressure distribution map. For example, when the patient is standing to the right of the pressure sensor, the right boundary of the first pressure distribution map is the chest wall side.

[0135] The relative position of the region of interest (ROI) to the breast wall side is used to represent the positional relationship between the ROI and the breast wall side. It can be represented by the shortest distance between a specific location of the ROI (e.g., the location of its center point or the location of its edge closest to the breast wall side) and the breast wall side. For example, as... Figure 7A As shown, the relative position of the region of interest to the breast wall side can be represented by the shortest distance d between the center point C of the region of interest and the breast wall side.

[0136] Step 560: Based on the relative position, determine whether the current setup or the rack parameters of the breast scanning equipment need to be adjusted.

[0137] It is understandable that the relative position of the region of interest (ROI) to the chest wall reflects whether the current positioning of the target breast allows the entire ROI to be scanned. Specifically, when the relative position is greater than the position threshold, it indicates that the ROI is at a certain distance from the chest wall and close to the imaging center, meaning the entire ROI can be scanned without adjustment. When the relative position is less than the position threshold, it indicates that the ROI is too close to the chest wall, meaning some ROIs may not be positioned on the support platform and therefore cannot be imaged. Further adjustments to the current positioning or the breast scanning equipment are needed to ensure that the entire ROI can be scanned. The position threshold can be set manually or determined based on the scanning blind zone of the breast imaging system 200. For example, the larger the scanning blind zone, the larger the position threshold. The scanning blind zone of the breast imaging system 200 refers to the area of ​​the target breast corresponding to the pressure distribution map that extends beyond the imaging range of the breast scanning equipment 150.

[0138] For example, such as Figure 7A If the relative position d between the region of interest and the chest wall side is less than the position threshold, it indicates that the area to the right of the current region of interest may also be a region of interest containing a mass. In other words, some regions of interest of the patient cannot be scanned. Therefore, it can be determined that the current positioning or gantry parameters need to be adjusted (e.g., adjusting the gantry angle or raising or lowering the support table).

[0139] In some embodiments of this specification, the current positioning is further determined based on the first pressure distribution map to ensure that the entire region of interest is scanned. This avoids the situation where the acquired image cannot contain the region of interest due to patient positioning errors or incorrect gantry parameter selection, thereby avoiding the need to acquire images again and exposing the patient to unnecessary ionizing radiation.

[0140] Step 540 can be performed after step 560. For example, if it is determined that the current positioning or the rack parameters of the breast scanning device do not require adjustment, the processing device 110 can perform a target scan on the target breast based on the scan parameters, etc., in the target scan protocol. Alternatively, if it is determined that the current positioning or the rack parameters of the breast scanning device require adjustment, the processing device 110 can perform a target scan on the target breast based on the adjusted rack parameters of the current positioning or the breast scanning device.

[0141] In some embodiments of this specification, before performing a target scan on the target breast, the patient's current positioning is determined to be consistent with the target positioning based on a first pressure distribution map. This can reduce the acquisition of invalid images, thereby avoiding unnecessary ionizing radiation to the patient and preventing misdiagnosis caused by incorrect positioning.

[0142] Figure 8 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification. In some embodiments, the processing device 110 or the breast imaging system 200 may execute process 800. Figure 8 As shown, process 800 may include the following steps.

[0143] Step 810: Obtain a pre-exposure image of the target breast (i.e., an image acquired through pre-exposure scanning) and a second pressure distribution map.

[0144] A pre-exposure image is an exposure image acquired before the target scan (i.e., an image obtained through pre-exposure scanning). In some embodiments, the pre-exposure image can be obtained by a breast scanning device performing a pre-exposure scan on a target breast under compression. Specifically, the processing device 110 can control the breast scanning device to compress the target breast based on the target compression parameters corresponding to the target scan. The processing device 110 can also control the breast scanning device to irradiate the compressed target breast with a low dose of X-rays based on the pre-exposure parameters, and acquire the corresponding pre-exposure image. The pre-exposure parameters are the imaging parameters of the pre-exposure image. The X-ray dose of the target scan can be determined based on the pre-exposure parameters. For a detailed description of the pre-exposure parameters, please refer to the relevant description in step 830.

[0145] The second pressure distribution map is acquired simultaneously with the pre-exposure image and can reflect the pressure distribution of the target breast under compression during the acquisition of the pre-exposure image. In some embodiments, the second pressure distribution map can be acquired by a pressure sensor during the pre-exposure process. Specifically, when the breast scanning device irradiates the target breast under compression with a low dose of X-rays, the processing device 110 can simultaneously control the pressure sensor to acquire the second pressure distribution map.

[0146] Step 820: Based on the second pressure distribution map, determine the target area in the pre-exposure image.

[0147] A target region is an area in a pre-exposed image that may contain glandular tissue and / or suspected lesions. For example, during breast disease screening, the target region could be an area in the pre-exposed image where glandular tissue is present. Similarly, during examination of a patient with breast disease, the target region could be a lesion area in the pre-exposed image containing lumps, calcifications, structural distortions, abnormal density, etc. In some embodiments, the pre-exposed image may include one or more target regions.

[0148] In some embodiments, step 820 includes steps 822 and 824.

[0149] Step 822: Based on the judgment threshold, determine the reference area in the second pressure distribution map.

[0150] A reference region is an area in the second pressure distribution map where glands and / or suspected lesions may be present. In some embodiments, the reference region may include an area of ​​suspected lesion, also referred to as a reference lesion area. In some embodiments, the second pressure distribution map may include one or more reference regions. In some embodiments, the processing device 110 may identify points in the second pressure distribution map where the pressure value is greater than a judgment threshold, and define the area formed by these points as a reference region. In some embodiments, the processing device 110 may divide the second pressure distribution map into multiple sub-regions, and determine the reference region based on the pressure value and judgment threshold of each sub-region. The method for determining the reference region is similar to... Figure 13A The method for determining the lesion area described in the text.

[0151] The judgment threshold is a pressure value used to distinguish different tissues (e.g., adipose tissue, breast tissue, and diseased tissue). The judgment threshold can be a system default value, manually set, or determined by the processing device 110 through data analysis. In some embodiments, the judgment threshold includes a fat threshold, a glandular threshold, and a malignant lesion threshold, increasing sequentially. For example, when the pressure value of a point is less than or equal to the fat threshold, the point belongs to adipose tissue. When the pressure value of a point is greater than the fat threshold but less than or equal to the glandular threshold, the point belongs to glandular tissue. When the pressure value of a point is greater than the glandular threshold but less than or equal to the malignant lesion threshold, the point belongs to benign lesion tissue. When the pressure value of a point is greater than the malignant lesion threshold, the point belongs to malignant lesion tissue. In some embodiments, if the reference area is a suspected lesion area, the processing device 110 can use points in the second pressure distribution map with pressure values ​​greater than the glandular threshold as points in the reference area (i.e., the judgment threshold is the glandular threshold). If the reference area includes both glandular tissue and a suspected lesion area, the processing device 110 can use points in the second pressure distribution map with pressure values ​​greater than the fat threshold as points in the reference area (i.e., the judgment threshold is the fat threshold).

[0152] In some embodiments, it can be achieved by executing Figure 10 The method described above is used to determine the gland threshold. In some embodiments, the processing device 110 may determine the gland threshold based on a second pressure distribution map. The method for determining the gland threshold based on the second pressure distribution map is similar to... Figure 13A The method described is similar to the one used to determine gland thresholds based on the first pressure distribution map.

[0153] Figure 9 This is a schematic diagram illustrating the determination of a target region in a pre-exposure image according to some embodiments of this specification. For example, such as... Figure 9 As shown, the processing device 110 can identify multiple pixels (or multiple sub-regions) in the second pressure distribution map whose pressure values ​​are greater than or equal to the judgment threshold 1 as pixels in the reference region 1 (pixels indicated by the dashed lines), thereby obtaining the reference region 1. For example, as... Figure 9 As shown, the processing device 110 can identify multiple pixels (or sub-regions) in the second pressure distribution map whose pressure values ​​are greater than or equal to judgment threshold 1 as pixels in reference region 1 (pixels indicated by dashed lines), and identify multiple pixels (or sub-regions) in the second pressure distribution map whose pressure values ​​are less than judgment threshold 1 but greater than or equal to judgment threshold 2 as pixels in reference region 2 (pixels indicated by solid lines), thereby obtaining reference region 1 and reference region 2. For example, if judgment threshold 1 is a malignant lesion threshold and judgment threshold 2 is a glandular threshold, then reference region 1 is a malignant lesion region and reference region 2 is a benign lesion region.

[0154] Step 824: Determine the target region in the pre-exposed image based on the reference region. In some embodiments, the target region may be a target lesion region.

[0155] like Figure 9 As shown, the processing device 110 can determine the corresponding position of the target area in the pre-exposure image based on the position of the reference area in the second pressure distribution map, thereby determining the target area.

[0156] In some embodiments of this specification, a reference region in the pressure distribution map can be quickly and accurately determined based on a judgment threshold. Since the pre-exposure image and the second pressure distribution map are acquired simultaneously, the target region can be quickly and accurately determined based on the reference region, improving the accuracy and efficiency of target region determination.

[0157] Step 830: Determine (obtain) the target exposure parameters based on the target area and the pre-exposure parameters corresponding to the pre-exposure image.

[0158] As mentioned above, pre-exposure parameters are the imaging parameters (i.e., the scanning parameters of the pre-exposure scan) of the pre-exposure image (i.e., the image acquired through pre-exposure scanning). Target exposure parameters are the imaging parameters of the target exposure image, i.e., the imaging parameters to be used in the target scan. In some embodiments, pre-exposure parameters and target exposure parameters may include, but are not limited to, tube current, tube voltage, focal size, exposure time, etc. A detailed description of determining the target exposure parameters can be found in [link to relevant documentation]. Figure 11 And its related descriptions.

[0159] Step 840: Control the breast scanning device to perform target scanning on the target breast based on the target exposure parameters to obtain the target exposure image.

[0160] In some embodiments, the processing device 110 may control the breast scanning device to irradiate the target breast under compression with a higher set dose of X-rays based on the target exposure parameters, and acquire the corresponding target exposure image.

[0161] In some embodiments of this specification, the target region in the pre-exposure image can be accurately determined based on the pressure distribution map, thereby determining the target exposure parameters based on the target region in the pre-exposure image, so that the target exposure image obtained based on the target exposure parameters can reduce the radiation dose to the patient while ensuring image quality.

[0162] Figure 10 This is a flowchart illustrating a method for determining a judgment threshold according to some embodiments of this specification.

[0163] like Figure 10As shown, the processing device 110 can determine the judgment threshold by performing steps 1010-1030 based on the dynamic pressure distribution map, or by performing steps 1040-1050 based on the second pressure distribution map.

[0164] Step 1010: Obtain the dynamic pressure distribution map collected by the pressure sensor during the process of the target mammary gland being compressed to a compressed state.

[0165] As described in step 810, the processing device 110 can control the breast scanning device to compress the target breast based on the target compression parameters. The dynamic pressure distribution map can reflect the change of pressure distribution over time in the target breast as it transitions from a compressed state to a compressed state. The dynamic pressure distribution map can include multiple frames of pressure distribution maps corresponding to multiple time points during the compression process.

[0166] In some embodiments, the processing device 110 can control the compression plate to compress the target breast based on the target compression parameters while simultaneously controlling the pressure sensor to acquire corresponding multi-frame pressure distribution maps at multiple time points. The second pressure distribution map can be the last frame of the dynamic pressure distribution map, which reflects the pressure distribution of the target breast under a stable compression state.

[0167] Step 1020: Determine the target depth information based on the dynamic pressure distribution map.

[0168] Target depth information reflects the distance between the target area and the surface skin of the target breast tissue, and can be represented by the distance between the target area and a support plate, compression plate, or pressure sensor. In some embodiments, the processing device 110 can determine the target depth information by executing steps 1710, 1731, and 1732 in process 1700.

[0169] Step 1030: Determine the judgment threshold based on the setting position of the pressure sensor and the target depth information. In some embodiments, the target depth information may also be referred to as lesion depth information, and the judgment threshold may be a gland threshold (or a lesion threshold / benign lesion threshold).

[0170] For illustrative purposes, the following explanation uses glandular tissue as an example. The processing device 110 can determine the distance between the target area and the pressure sensor based on target depth information and the location of the pressure sensor, and determine the glandular threshold based on this distance. The closer the target area is to the pressure sensor, the easier it is for the pressure sensor to collect pressure information from the target area, and the higher the corresponding glandular threshold. Conversely, the greater the distance, the lower the glandular threshold. For example, if the lump is located in the upper part of the breast, when the pressure sensor is placed on the lower surface of the compression plate, the pressure sensor is closer to the lump and experiences greater pressure (compared to when it is placed on the upper surface of the support plate), so the glandular threshold can be set higher.

[0171] In some embodiments of this specification, the target depth information is determined based on the dynamic pressure distribution map of the target breast during the compression process, and the judgment threshold is determined according to the setting position of the pressure sensor and the target depth information. The influence of the different positions of the target area in the target breast and the setting position of the pressure sensor on the pressure of the target area is considered, thereby improving the accuracy of target area (e.g., breast, lesion, etc.) identification.

[0172] Step 1040: Based on the distribution of multiple pressure values ​​corresponding to multiple sub-regions, determine multiple candidate sub-regions.

[0173] The second pressure distribution map may contain multiple sub-regions, each corresponding to a pressure value. Candidate sub-regions are sub-regions that can be used to determine a judgment threshold. In some embodiments, the processing device 110 may determine sub-regions with pressure values ​​greater than a reference judgment threshold as candidate sub-regions. The reference judgment threshold may be a manually set, low-value threshold that can filter out potential target regions.

[0174] Step 1050: Determine the judgment threshold based on the multiple pressure values ​​corresponding to the multiple candidate sub-regions.

[0175] For illustrative purposes, the following description uses glandular threshold as an example. Specifically, processing device 110 can determine a target sub-region based on the area and density of multiple candidate sub-regions. For example, taking the target sub-region for examining a patient with breast disease as an example, if the area of ​​the multiple candidate sub-regions corresponding to the highest pressure peak is large and dense, then the multiple candidate sub-regions corresponding to that pressure peak are determined as the target sub-region; otherwise, the multiple candidate sub-regions corresponding to the next pressure peak are further determined as the target sub-region. For example, refer to... Figure 9 Assuming reference region 1 corresponds to the highest pressure peak and reference region 2 corresponds to the second highest pressure peak: If multiple candidate sub-regions in reference region 1 have large and dense areas, then these multiple candidate sub-regions in reference region 1 are identified as target sub-regions. If multiple candidate sub-regions in reference region 1 have small or scattered areas, while multiple candidate sub-regions in reference region 2 have large and dense areas, then multiple candidate sub-regions in both reference region 1 and reference region 2 are identified as target sub-regions.

[0176] Furthermore, the processing device 110 can determine a gland threshold based on the pressure values ​​of multiple target sub-regions. For example, the average pressure values ​​of multiple target sub-regions can be used to determine the gland threshold. Alternatively, when a target sub-region includes regions corresponding to multiple pressure peaks (referred to as pressure peaks), the weighted average pressure values ​​of the multiple target sub-regions can be used to determine the gland threshold, where the weight of each target sub-region can be determined based on the ratio of the area of ​​the pressure peak region containing that target sub-region to the total area of ​​the multiple target sub-regions.

[0177] In some embodiments, the processing device 110 can determine multiple gland thresholds based on the pressure values ​​of multiple target sub-regions. For example, the processing device 110 can determine multiple gland thresholds as 1 / 3 of the total pressure value, the average value, the weighted average value, and 2 / 3 of the total pressure value of multiple target sub-regions. As another example, the processing device 110 can determine the corresponding gland threshold based on the average pressure value of multiple target sub-regions in each pressure peak region, thereby obtaining multiple gland thresholds corresponding to multiple pressure peak regions.

[0178] In some embodiments of this specification, multiple candidate sub-regions are determined based on the distribution of multiple pressure values ​​corresponding to multiple sub-regions. Then, a glandular threshold is determined based on the multiple pressure values ​​corresponding to the multiple candidate sub-regions. This allows the glandular threshold to be adaptively adjusted according to the area and density of the multiple candidate sub-regions, thereby adapting to different examination needs and / or various lesions of different breasts.

[0179] Figure 11 This is a flowchart illustrating a method for determining target exposure parameters according to some embodiments of this specification. In some embodiments, processing device 110 or breast imaging system 200 may execute process 1100. Figure 11 As shown, process 1100 may include the following steps.

[0180] Step 1110: Determine the average gray level of the target area.

[0181] As mentioned above, the target area is the region in the pre-exposed image where glands and / or suspected lesions may exist. Specifically, the processing device 110 can acquire the grayscale values ​​of multiple pixels in the target area, and then determine the average grayscale based on the grayscale values ​​of the multiple pixels.

[0182] Step 1120: Determine the relationship factor based on the average gray level and the target gray level of the target exposure image.

[0183] The target grayscale is the ideal grayscale value in the target exposed image. The target grayscale allows the doctor to clearly see the target area in the target exposed image. The target grayscale can be a system default value or determined and / or corrected based on the size of the target breast tissue. The relationship factor is the ratio of the target grayscale to the average grayscale.

[0184] Step 1130: Determine the target exposure parameters based on the pre-exposure parameters and the relationship factor corresponding to the pre-exposure image.

[0185] In some embodiments, the target exposure parameters can be determined based on the product of the pre-exposure parameters and the relational factor.

[0186] In some embodiments of this specification, a relationship multiple is determined based on the average gray level of the target area and the target gray level of the target exposure image. Then, the target exposure parameters are determined based on the pre-exposure parameters corresponding to the pre-exposure image and the relationship multiple. This allows the target exposure image obtained based on the target exposure parameters to reach the target gray level, thereby enabling doctors to clearly see the target area.

[0187] Figure 12 This is a flowchart illustrating a method for target scanning of a target breast gland according to some embodiments of this specification. In some embodiments, process 1200 may be executed by processing device 110. Figure 12 As shown, process 1200 includes the following steps.

[0188] Step 1210: Control the breast scanning device to compress the target breast to obtain a first pressure distribution map of the target breast. The first pressure distribution map is obtained by the pressure sensor collecting data from the target breast under compression.

[0189] Step 1210 is performed in a similar manner to step 510. In some embodiments, the processing device 110 may pre-compress the target mammary gland based on initial compression parameters and acquire a first pressure distribution map of the mammary gland after pre-compression.

[0190] Step 1220: Based on the first pressure distribution map, determine the lesion identification results and breast density of the target breast.

[0191] Lesion identification results refer to the identification of lesion areas (such as tumors) in the target breast, which may include, but are not limited to, lesion type (such as calcification, mass), lesion location (such as its planar location and depth within the target breast), etc. Lesion identification results may also include information such as the lesion's stage (such as early or late stage), shape, size, and distribution. For more information on determining lesion identification results, please see [link to relevant documentation]. Figure 13A And its description.

[0192] Breast density reflects the density or compactness level of a patient's breast and is determined based on the tissue composition (such as adipose tissue, glandular tissue, etc.) and their proportions within the target breast. Breast density includes several different types, such as fatty, scattered fibroglandular, unevenly dense, and extremely dense types. The density of fatty, scattered fibroglandular, unevenly dense, and extremely dense types increases sequentially. Different breast densities can correspond to different scanning parameters (such as scanning angle).

[0193] Understandably, the density of the target breast tissue will change when lesions (such as tumors) are present. For example, when one or more tumors are present in the target breast (e.g., a fatty breast), these tumors may be located in different parts of the target breast, and their information (such as type, growth cycle, shape, and size) may also differ. This can cause the type of breast density in the target breast to change, for example, from fatty to scattered fibroglandular, unevenly dense, or extremely dense.

[0194] In some embodiments, the processing device 110 can determine breast density based on lesion identification results, gland identification results, and fat identification results. More information on determining breast density can be found elsewhere in this specification (e.g., Figure 13A ).

[0195] Step 1230: Based on the lesion identification results and breast density, determine the target scanning parameters.

[0196] Target scanning parameters refer to the parameters used in target scanning, including but not limited to target pressure parameters, target scanning angle, and target exposure parameters. For example, target pressure parameters may include target pressure thickness and target pressure intensity. Target scanning angles include but are not limited to scanning angle ranges or angle values ​​within that range. Target exposure parameters include but are not limited to filtration, tube voltage, and milliampere-seconds.

[0197] It should be noted that different target scanning parameters have varying effects on subsequent target scans. For example, regarding target compression parameters, different target compression thicknesses and / or pressure levels will affect the quality of the exposed image and also the patient's experience of compression (such as pain or discomfort). As another example, target exposure parameters will affect the patient's radiation dose. For instance, regarding scanning angle, smaller angle scans can shorten examination time and reduce radiation dose, while larger angle scans can improve image resolution and quality. Therefore, the target scanning angle can be used to balance radiation dose and image quality. Furthermore, different target exposure parameters will affect image clarity and the radiation dose received by the patient. It is understood that target scanning parameters need to be determined based on the actual situation (such as patient-related information, the lesions in the target breast, and / or breast density information).

[0198] In some embodiments, the processing device 110 may determine the target scanning angle based on the results of breast density and lesion identification; and determine the target compression parameters and target exposure parameters based on the results of breast density and lesion identification.

[0199] For example, the higher the breast density, the larger the target scanning angle can be set to more accurately identify lesions in the breast and avoid misidentifying breast tissue as lesions. Similarly, when a lesion exists in the target breast and is located in an area of ​​concentrated glandular tissue, a larger target scanning angle can also be set. In some embodiments, the processing device 110 can determine the target scanning angle based on the breast density type of the target breast and the scanning angles corresponding to different breast density types. For example, the scanning angles for fatty, scattered fibroglandular, unevenly dense, and extremely dense types increase sequentially. For example, unevenly dense and extremely dense types correspond to a first scanning angle, while fatty and scattered fibroglandular types correspond to a second scanning angle, wherein the first scanning angle is greater than the second scanning angle.

[0200] In some embodiments, the processing device 110 can determine the target scanning angle based on the breast density of the target breast and the mapping relationship between breast density and scanning angle. This scanning parameter mapping relationship can be in the form of a lookup table or a mapping relationship. The scanning parameter mapping relationship can be determined based on historical medical records or set manually by the user.

[0201] In some embodiments, the scanning parameter mapping relationship may further include breast density and / or lesion identification results, and corresponding reference scanning parameter combinations. The reference scanning parameter combinations include a combination of one or more preset scanning parameters (such as compression thickness, compression force, scanning angle, filtration, tube voltage, milliampere-seconds, etc.). The processing device 110 can retrieve or match the corresponding reference scanning parameter combinations from the scanning parameter mapping relationship based on the lesion identification results and breast density to determine the target parameter combination. In some embodiments, the processing device 110 can recommend the reference scanning parameter combinations to users (such as medical personnel) so that users can adjust them according to actual conditions (such as the target patient's age, breast-related information, etc.), thereby improving the user experience for the target patient.

[0202] Step 1240: Based on the target scanning parameters, control the breast scanning device to perform a target scan on the target breast.

[0203] In some embodiments, the processing device 110 can adjust the pressure of the breast scanning device on the target breast based on target compression parameters, and control the breast scanning device to perform target scanning on the target breast based on the target scanning angle and target exposure parameters. In some embodiments, the processing device 110 can control the compression plate to adjust the compression thickness and compression force based on the difference between the target compression parameters and the initial compression parameters to achieve the target compression parameters. Alternatively, after acquiring the first pressure distribution map, the processing device 110 can control the compression plate to release the pressure on the target breast, and then apply a second compression to the target breast after determining the target compression parameters. This reduces the time the patient's breast is under pressure and improves patient comfort.

[0204] In some embodiments, before determining the lesion identification result and breast density of the target breast, the processing device 110 may further determine, based on a first pressure distribution map, whether the current positioning of the target breast is consistent with the target positioning corresponding to the target scan. In response to determining that the current positioning of the target breast is inconsistent with the target positioning, a prompt to adjust the current positioning of the target breast is issued. In response to determining that the current positioning of the target breast is consistent with the target positioning, the lesion identification result and breast density can be determined based on the first pressure distribution map. For more information on target breast positioning, see [link to relevant documentation]. Figure 5 And its description.

[0205] In some embodiments, the processing device 110 may also acquire a target exposure image captured during target scanning and a dynamic pressure distribution map captured by a pressure sensor during the adjustment of pressure on the target breast; based on the dynamic pressure distribution map, determine target lesion information related to the target breast, the target lesion information including at least lesion depth information and lesion benign or malignant information; based on the target lesion information, add a marker related to the target lesion information to the target exposure image; and display the marked target exposure image using a terminal device. Further details regarding the foregoing embodiments can be found elsewhere in this specification (e.g., Figure 15 , 16A ).

[0206] In some embodiments of this specification, before the target scan is performed, the lesion identification result and breast density are determined by the first pressure distribution map, which can avoid pre-exposure and reduce the radiation received by the patient; at the same time, the target scan parameters corresponding to the target scan can be automatically determined, which improves the accuracy and relevance of the target scan parameters, while reducing the workload in the scan preparation stage and improving the user experience.

[0207] Figure 13A This is a flowchart illustrating a method for determining the lesion identification results of a target breast, according to some embodiments of this specification.

[0208] In some embodiments, process 1300 may be executed by processing device 110. For example... Figure 13A As shown, process 1300 includes the following steps.

[0209] Step 1310: Divide the first pressure distribution map into multiple sub-regions.

[0210] In some embodiments, the processing device 110 can partition the first pressure distribution map based on a preset partitioning algorithm to obtain multiple sub-regions. As an example only, the partitioning algorithm may include a gridding algorithm, where each grid cell can be considered a sub-region. Grid cells can be any shape, such as squares, rectangles, or hexagons. In some embodiments, the region division can be based on the distribution of pressure sensing units in the pressure sensor, with each grid cell corresponding to one pressure sensing unit.

[0211] In some embodiments, the processing device 110 may determine pressure uniformity based on a first pressure distribution map; and determine regional fineness based on pressure uniformity; and further divide the breast region based on regional fineness to determine multiple sub-regions.

[0212] Pressure uniformity can be used to reflect the degree of difference in pressure values ​​between different areas in a first pressure distribution map. For example, the more homogeneous the breast tissue composition of the target breast (e.g., all or most of it is adipose tissue or glandular tissue), the smaller the difference in pressure values ​​between different breast areas, indicating greater uniformity and higher pressure uniformity. Conversely, the more dispersed the different types of breast tissue in the target breast are, the greater the difference in pressure values ​​between different breast areas and the smaller the pressure uniformity.

[0213] In some embodiments, pressure uniformity can be determined based on the breast density of the target breast. For example, for fatty and extremely dense target breasts, the pressure uniformity corresponding to the first pressure distribution map is larger, while for scattered fibroglandular and unevenly dense target breasts, the pressure uniformity corresponding to the first pressure distribution map is smaller. It is understood that a smaller pressure uniformity indicates a higher probability of lesion presence. In some embodiments, in response to a pressure uniformity less than a preset uniformity threshold, the processing device 110 can assess the presence of lesions in the target breast, wherein the preset uniformity threshold can be obtained based on experimental data or historical case data. The processing device 110 can locate lesions and their lesion regions based on pressure uniformity.

[0214] Regional fineness can be used to reflect the level of detail in partitioning; the larger the regional fineness, the smaller the area of ​​each sub-region. For example, taking a gridded partitioning algorithm, for a first pressure distribution map with low pressure uniformity, the processing device 110 can set a larger number of rows and / or columns to obtain a larger regional fineness, thereby obtaining a larger number of sub-regions.

[0215] Combination Figure 13B and Figure 13C , Figure 13B This is a schematic diagram of a first pressure distribution diagram shown according to some embodiments of this specification; Figure 13C This is a schematic diagram of the partitioning results corresponding to the first pressure distribution map shown in some embodiments of this specification.

[0216] like Figure 13B As shown, the first pressure distribution map 1311 includes the breast region 1301 of the target breast (shown as a semi-elliptical area), which includes adipose tissue region 1302 (shown as a white area), lesion region 1303 (shown as a black area), and glandular tissue region 1304 (shown as a gray area). The tissue composition and lesions (such as the number and location of tumors) of the target breast vary among different patients, resulting in different first pressure distribution maps 1311. For example, the first pressure distribution map 1311 may include two lesion regions 1303, and the glandular region 1304 may be located near the lesion region 1303 or within the adipose tissue region 1302.

[0217] First pressure distribution map: Different locations (e.g., voxel points in the breast) or regions in map 1311 correspond to different pressure values. See also Figure 13C The first pressure distribution map: 1311 corresponds to partition result 1312, which includes pressure values ​​for multiple sub-regions. These sub-regions are shown as a grid in the map. It should be noted that the specific pressure values ​​in the map are illustrative and only reflect the differences in pressure values ​​between different sub-regions; the specific values ​​represent the average pressure values ​​of the sub-regions.

[0218] For example, in partition result 1312, the sub-region with a value of 1 represents the sub-region corresponding to adipose tissue, and the sub-region with a value of 0 represents the sub-region outside the breast region; the sub-region corresponding to the value in the range [0,1] represents the boundary region that may be the breast region; the larger the value, the greater the probability that it is a lesion or glandular tissue.

[0219] It is understandable that when partitioning the first pressure distribution map (1311), a given sub-region may cover one or more combinations of adipose tissue, glandular tissue, or lesions. Therefore, the partitioning result (1312) shows a distribution of different values. Considering fine-grained regional partitioning of the first pressure distribution map (1311) can improve the localization and identification of adipose tissue, glandular tissue, or lesions. Figure 13C As shown, the finer the granularity of the region, the greater the number of sub-regions contained in the area covered by the lesion (the area covered by the circular dashed line in the figure), and the more precise its corresponding boundary.

[0220] In some embodiments of this specification, by analyzing the first pressure distribution map, the probability and distribution of lesions can be better assessed, and the first pressure distribution map can be partitioned based on different regions with fine granularity, which is beneficial for the accurate localization of lesions.

[0221] Step 1320: Based on the first pressure distribution map, determine the pressure value of each sub-region.

[0222] In some embodiments, for each sub-region, the processing device 110 can determine the pressure value for each sub-region based on the average pressure value corresponding to each point within the sub-region.

[0223] Step 1330: Based on the pressure value of each sub-region, determine the lesion identification result of the target breast.

[0224] In some embodiments, the processing device 110 can set a gland threshold. When the pressure value corresponding to a certain sub-region is greater than the gland threshold, the sub-region can be determined to belong to a lesion region. The gland threshold can be a system default value, or it can be set manually, or it can be determined by the processing device 110 through data analysis. The gland threshold can also be called a benign lesion threshold.

[0225] In some embodiments, the glandular threshold can be determined based on the average pressure value of the breast region. For example, 1.5 times the average pressure value of the breast region in a first pressure distribution map can be used as the glandular threshold. The breast region can be a collection of sub-regions with non-zero pressure values. The average pressure value can be the average of the pressure values ​​of all sub-regions located within the breast region.

[0226] In some embodiments, the processing device 110 can determine the glandular threshold based on patient characteristics such as disease type, breast size, and age. Patients with different characteristics may have different glandular thresholds. In some embodiments, the processing device 110 can determine the glandular threshold based on initial compression parameters corresponding to a first pressure distribution map and patient information. The lesion areas of patients with different characteristics correspond to different pressure values ​​under different compression parameters (such as compression thickness, compression force, etc.). Therefore, the glandular threshold corresponding to the target breast can be determined based on the correspondence between patient characteristics, compression parameters, and glandular thresholds.

[0227] In some embodiments, the processing device 110 can acquire a dynamic pressure distribution map collected by a pressure sensor during the compression of the target breast tissue, and determine lesion depth information based on the dynamic pressure distribution map. Furthermore, based on the location of the pressure sensor and the lesion depth information, it can determine the glandular threshold. For more information on determining the glandular threshold based on a dynamic pressure distribution map, please refer to [link to relevant documentation]. Figure 10 And its description. In some embodiments, the processing device 110 may perform steps 1040 and 1050 on the first pressure distribution map to determine the gland threshold.

[0228] In some embodiments, the processing device 110 may also determine the glandular identification result and fat identification result of the target breast based on the pressure value of each sub-region, and determine the breast density based on the lesion identification result, glandular identification result and fat identification result.

[0229] Glandular recognition results refer to the recognition results corresponding to glandular regions. Fat recognition results refer to the recognition results corresponding to fat regions. In some embodiments, the processing device 110 may determine the fat threshold in a similar manner to the glandular threshold. For example, one to 1.2 times the average pressure may be used as the fat threshold.

[0230] For each subregion, if its pressure value is less than the fat threshold, the subregion is determined to belong to the fat region; if its pressure value is less than the glandular threshold but greater than the fat threshold, the subregion is determined to belong to the glandular region, where the glandular threshold is greater than the fat threshold.

[0231] In some embodiments, the processing device 110 can determine the area of ​​the fat region, the area of ​​the glandular region, and the area of ​​the lesion region based on the fat recognition results, the glandular recognition results, and the lesion recognition results, respectively, and then determine the breast density based on the ratio of the sum of the glandular region area and the lesion region area to the breast area. The breast area can be the sum of the areas of the fat region, the glandular region area, and the lesion region area.

[0232] In some embodiments of this specification, multiple sub-regions are obtained by dividing the first pressure distribution map into sections, and the identification results of lesions and breast tissues (such as adipose tissue and glandular tissue) can be accurately obtained based on the relationship between the pressure values ​​of different regions and different breast tissues and / or lesions.

[0233] Figure 14 This is a flowchart illustrating another method for target scanning of a pair of target breast tissues according to some embodiments of this specification. In some embodiments, process 1400 may be executed by processing device 110. Figure 14 As shown, process 1400 includes the following steps.

[0234] Step 1410: Position the target breast. In some embodiments, the target breast can be positioned based on the target pose corresponding to the target scan.

[0235] Step 1420: Compression is applied to the target breast. In some embodiments, the processing device 110 may control the breast scanning device to compress the target breast based on initial compression parameters.

[0236] Step 1430: Obtain the first pressure distribution map. See step 1210 for more details on obtaining the first pressure distribution map.

[0237] Step 1440: Based on the first pressure distribution map, determine the lesion identification results and breast density. For more information on determining the lesion identification results and breast density, see the description of step 1220.

[0238] Step 1450: Determine the target scanning angle, target compression parameters, and target exposure parameters. See step 1230 for more details on determining the target scanning parameters.

[0239] Step 1460: Adjust the pressure of the compression plate on the target mammary gland based on the target compression parameters.

[0240] Step 1470: Based on the target scanning angle and target exposure parameters, perform a target scan and acquire a target exposure image. See step 1240 for more details on performing the target scan.

[0241] Step 1480: Release the pressure on the target mammary gland.

[0242] After acquiring the target exposure image, the processing device 110 can control the breast scanning device to adjust the compression plate and relieve the compression on the target breast.

[0243] In some embodiments, the processing device 110 may also analyze and / or process the target exposure image. For example, the target exposure image may be labeled.

[0244] Figure 15 This is a flowchart illustrating a breast imaging method according to some embodiments of this specification. In some embodiments, process 1500 may be implemented by processing device 110. Figure 15 As shown, process 1500 includes the following steps.

[0245] Step 1510: Control the breast scanning device to compress the target breast and acquire the dynamic pressure distribution map of the target breast collected by the pressure sensor during the compression process.

[0246] Step 1510 can be performed before the target scan is executed. In some embodiments, the processing device 110 controls the compression plate of the breast scanning device to compress the target breast based on target compression parameters. The target compression parameters can be determined based on the scanning protocol corresponding to the target scan, or can be manually set by the user. In some embodiments, the target compression parameters are determined through steps 1210-1230 in process 1200.

[0247] During compression, the pressure sensor in the breast scanning device can acquire a dynamic pressure distribution map, which includes pressure distribution maps acquired by the pressure sensor at multiple time points. More information about pressure sensors, pressure distribution maps, and dynamic pressure distribution maps can be found elsewhere in this manual (e.g., Figure 1 ).

[0248] Step 1520: Control the breast scanning device to perform a target scan on the compressed target breast to acquire a target exposure image.

[0249] After compressing the target breast based on the target compression parameters, the processing device 110 can control the breast scanning device to perform a target scan on the compressed breast according to the target scanning angle and target exposure parameters, so as to acquire a target exposure image. The target scanning angle and target exposure parameters can be determined based on the scanning protocol corresponding to the target scan, or can be set manually by the user. In some embodiments, the target scanning angle and target exposure parameters are determined through steps 1210-1230 in process 1200. In some embodiments, the target exposure parameters are determined through steps 810-830 in process 800.

[0250] In some embodiments, the processing device 110 may further determine, based on a dynamic pressure distribution map, whether the current positioning of the target breast is consistent with the target positioning during target scanning; in response to determining that the current positioning of the target breast is consistent with the target positioning, controlling the breast scanning device to perform the target scanning on the target breast; and in response to determining that the current positioning of the target breast is inconsistent with the target positioning, issuing a prompt to adjust the current positioning of the target breast. For example, the processing device 110 may execute steps 510-530 in process 500 based on any pressure distribution map in the dynamic pressure distribution map (such as the last pressure distribution map) to determine whether the current positioning is consistent with the target positioning. Optionally, the processing device 110 may further execute steps 540-550 in process 500 to determine whether the current positioning or the rack parameters of the breast scanning device need to be adjusted.

[0251] In some embodiments, prior to target scanning, the processing device 110 may further determine target exposure parameters, and the target scanning is performed based on said target exposure parameters. More information about target exposure parameters and methods for their determination can be found elsewhere in this specification (e.g., Figure 8 and Figure 12 ).

[0252] Step 1530: Based on the dynamic pressure distribution map, identify lesion information related to the target breast.

[0253] Lesion information includes various types of information related to the lesion, which can be determined according to actual needs. For example, it may include, but is not limited to, the type of lesion (such as calcification, tumor, etc.), number, shape, size (such as dimensions, area, volume, etc.), location information, and benign or malignant information. In some embodiments, lesion information includes at least lesion location information and benign or malignant information.

[0254] Lesion location information may include lesion planar location information and lesion depth information. Planar location refers to the position of the lesion in a two-dimensional coordinate system corresponding to the pressure distribution map and / or exposure image (such as the target exposure image), which can be expressed in the form of coordinates (such as two-dimensional coordinates). Lesion depth information may represent the distance (e.g., 5 cm, 10 cm) between the breast surface of the target breast and the lesion (such as the center point of the lesion). In some embodiments, lesion depth information may include the distance between the lesion of the target breast (such as the center point of the lesion) and the pressure sensor, compression plate, or support plate in the compression direction (i.e., the direction of movement of the compression plate).

[0255] Information on the benign or malignant nature of a lesion can reflect whether the lesion is malignant or benign. For example, information on the benign or malignant nature of a lesion can include its classification as malignant or benign (e.g., malignant mass, benign mass).

[0256] More information about determining the location and benign or malignant nature of lesions can be found elsewhere in this instruction manual (e.g. Figure 17 ).

[0257] Step 1540: Based on the lesion information, process the target exposure image to generate a processed target exposure image.

[0258] In some embodiments, the processing device 110 can associate the lesion location information of the dynamic pressure distribution map with the lesion location information of the target exposure image. For example, the processing device 110 can determine a target pressure distribution map corresponding to the target exposure image from the dynamic pressure distribution map, and perform lesion location coordinate registration processing on the target pressure distribution map and the target exposure image, so that the lesion location coordinates in the target pressure distribution map are aligned with those in the target exposure image. For more information on target pressure distribution maps, see [link to relevant documentation]. Figure 16A and Figure 16B And its description.

[0259] In some embodiments, the processing device 110 may also add markers related to lesion information to the target exposure image for image display.

[0260] The markers are used to present information related to lesions to the user. In some embodiments, the markers may include various forms of marking, such as color markings (e.g., red, gray, etc.), location markings (e.g., center point coordinates), and text markings (e.g., text descriptions). For example, different colors and / or shades of color (e.g., dark red, light color, etc.) can be used to indicate whether a lesion is benign or malignant.

[0261] In some embodiments, the marking may include lesion contour markings. The processing device 110 can determine the lesion contour based on the lesion identification result, and add markings related to the lesion information to the target exposure image based on the lesion contour and lesion information. The lesion contour can represent the boundary and extent of the lesion. More information about lesion identification results can be found elsewhere in this specification (e.g., Figure 17 ).

[0262] In some embodiments, the processing device 110 may use a terminal device (such as terminal device 130) to display a target exposure image with added markers.

[0263] In some embodiments of this specification, the advantages of stress imaging and X-ray imaging are combined. Dynamic pressure distribution maps obtained through stress imaging are used to determine lesion information, and markers are added to the target exposure image. This enables more accurate identification and analysis of lesions in the target breast. Simultaneously, it provides users (such as doctors) with more accurate and comprehensive lesion information, facilitating lesion assessment and improving diagnostic efficiency.

[0264] Figure 16A This is a flowchart illustrating a method for displaying a target exposure image according to some embodiments of this specification. In some embodiments, process 1600 may be executed by processing device 110. Figure 16A As shown, process 1600 includes the following steps.

[0265] Step 1610: Determine the target pressure distribution map corresponding to the target exposure image from the dynamic pressure distribution map. The target breast has the same compression state in the target exposure image and the target pressure distribution map.

[0266] In this specification, if the compression parameters (compression force, compression thickness) of the target breast are the same in two images, then the compression state of the target breast in them can be considered the same. For example, the target pressure distribution map can be the last frame of the dynamic pressure distribution map (i.e., the pressure distribution map acquired when compression is completed). Another example is that the target pressure distribution map can be acquired simultaneously or almost simultaneously with the target exposure image.

[0267] Figure 16B This is a schematic diagram of the dynamic pressure distribution shown in some embodiments of this specification. For example... Figure 16B As shown, the dynamic pressure distribution map 1611 can include time series {T1, T2, T3, ..., T...} m T n The corresponding multiple pressure distribution maps are: 1611-1 to 1611-n. One of these pressure distribution maps (such as 1611-m) can be referred to as the time T. mThe corresponding static pressure distribution map. In some embodiments, the target pressure distribution map may be the last pressure distribution map (e.g., 1611-n).

[0268] Step 1620: Based on the target pressure distribution map, determine the location of the lesion in the target exposure image.

[0269] In some embodiments, the processing device 110 may determine the lesion identification result based on the target pressure distribution map, and determine the lesion location in the target exposure image based on the lesion identification result.

[0270] The target exposure image can display breast tissue (such as adipose tissue and glandular tissue) and lesions of the target breast. Because lesions may be located in different parts of the breast region and at different growth stages, their shape and size may vary, leading to potential errors in locating and analyzing lesions in the target exposure image. For example, a small lesion in a target breast with high breast density (such as unevenly dense or extremely dense breast) may be difficult to distinguish visually due to the presence of surrounding glandular tissue. Therefore, the processing device 110 can locate the lesion region by obtaining the differences in pressure values ​​(such as pressure value or pressure intensity value) corresponding to multiple different sub-regions within the breast region based on the target pressure distribution map. For example, it can determine whether each sub-region belongs to a lesion region, thereby accurately locating the lesion region in the target pressure distribution map. In some embodiments, the processing device 110 can determine the lesion identification result based on the method described in step 1220.

[0271] Since the compression state of the target breast tissue is the same in the target pressure distribution map and the target exposure image, the processing device 110 can determine the location of the lesion in the target exposure image based on the location of the lesion area in the target pressure distribution map. It should be understood that the lesion location determined based on the target pressure distribution map is the planar location of the lesion.

[0272] Step 1630: Add a marker to the lesion location in the target exposure image.

[0273] For example, color markers, graphic markers, or text markers can be added to the lesion location in the target image to display information such as the lesion's location, benign or malignant type, and boundaries. For more information on markers, please refer to [link to relevant documentation]. Figure 15 Its description will not be repeated here.

[0274] In some embodiments, before determining the lesion location in the target exposure image and adding markers, the processing device 110 may further perform size adjustment processing on the target pressure distribution map and the target exposure image so that the size of the target pressure distribution map is the same as the size of the target exposure image. The determination of the lesion location in the target exposure image and the addition of markers may be based on the size-adjusted target pressure distribution map and the target exposure image. The size adjustment processing may include enlarging and / or reducing the size (e.g., length, width) of the target pressure distribution map and / or the target exposure image until the size of the target pressure distribution map and the target exposure image are the same. In some embodiments, the processing device 110 may further perform registration processing on the target pressure distribution map and the target exposure image to align their coordinates.

[0275] In some embodiments, the processing device 110 may perform the following steps: step 1640 for image display, and / or steps 1650 and 1660 for image display.

[0276] Step 1640: Using the terminal device, simultaneously display the target pressure distribution map and the marked target exposure image.

[0277] For example, a target pressure distribution map and a marked target exposure image can be displayed side by side in two columns on a terminal device (such as terminal device 130).

[0278] Figure 16C This is a schematic diagram of the target pressure distribution map and the marked target exposure image shown according to some embodiments of this specification. For example... Figure 16C As shown, after size adjustment and / or coordinate alignment, the target pressure distribution map 1611-n and the marked target exposure image 1621 are presented side by side on the terminal device. In the target exposure image 1621, the edges and locations of the lesions are marked with curves and cross-shaped symbols.

[0279] Step 1650: Fuse the target pressure distribution map and the labeled target exposure image to obtain a dual-modal fused image. Step 1660: Display the dual-modal fused image using a terminal device.

[0280] Figure 16D This is a schematic diagram of a dual-modal fused image according to some embodiments of this specification.

[0281] A dual-modal fusion image can be generated by overlaying a target pressure distribution map and a target exposure image. It contains pressure information from the target pressure distribution map, image information from the target exposure image, and marker information from the target exposure image. For example... Figure 16DThe image shown is an exemplary bimodal fusion image 1631 obtained by overlaying a target pressure distribution map onto a target exposure image corresponding to the target breast. In the bimodal fusion image 1631, glandular or lesion regions are shown as block-shaped markers to distinguish them from fat regions with lower pressure values. Lesion regions 16311 are shown as cross-shaped blocks. The bimodal fusion image 1631 allows users (such as healthcare professionals) to more clearly view the lesions and information about various tissue components (such as fat, glands, etc.) of the target breast, thereby facilitating medical diagnosis.

[0282] Some embodiments in this specification, by displaying the target pressure distribution map and the marked target exposure image side by side or fused together, facilitate users (such as medical personnel) in viewing and comparing the images, providing more accurate guidance for the formulation of treatment plans.

[0283] Figure 17 This is a flowchart illustrating a method for determining lesion information related to a target breast, according to some embodiments of this specification. In some embodiments, process 1700 may be executed by processing device 110. Figure 17 As shown, process 1700 includes the following steps.

[0284] Step 1710: Identify lesions in each pressure distribution map to obtain lesion identification results.

[0285] The dynamic pressure distribution map includes multiple pressure distribution maps. The processing device 110 can process each pressure distribution map separately to determine the lesion identification result. More information about determining the lesion identification result can be found elsewhere in this manual (e.g., Figure 12 and Figure 13A ).

[0286] In some embodiments, the processing device 110 may determine the benign or malignant information of the lesion based on steps 1721 to 1722.

[0287] Step 1721: Based on the lesion identification results corresponding to multiple pressure distribution maps, determine the lesion change information.

[0288] Lesion change information can be used to reflect changes in the target breast lesion as compression progresses. In some embodiments, lesion change information includes first changes in the lesion area and / or second changes in the lesion area pressure.

[0289] The first change information can be used to reflect the degree of change (such as the magnitude of increase or decrease) of the lesion area in multiple pressure distribution maps over time. Different types of lesions have different hardness, and their deformation varies during the compression of the target breast tissue. For example, benign tumors are less hard than malignant tumors, and are more prone to deformation, resulting in a greater change in the lesion area over time. For each pressure distribution map, the processing device 110 can obtain the corresponding lesion area based on the lesion identification result, thereby obtaining the degree of change of the lesion area in multiple pressure distribution maps over time.

[0290] The second change information can be used to determine the degree of pressure change in the lesion area over time in multiple pressure distribution maps. During the compression of the target breast tissue, different lesion types exhibit different pressure value changes. For example, benign tumors are less rigid than malignant tumors, and the pressure value change in the lesion area corresponding to a benign tumor is smaller. For each pressure distribution map, the processing device 110 can obtain the average pressure of the corresponding lesion area based on the lesion identification result, thereby obtaining information on the pressure change of the lesion area over time in multiple pressure distribution maps.

[0291] When there are multiple lesion areas in the target breast, the first and second change information of each lesion area can be determined separately.

[0292] Step 1722: Determine the benign or malignant information of the lesion based on the lesion change information.

[0293] In some embodiments, the processing device 110 may determine the benign or malignant information of a lesion based on the lesion area change threshold and pressure change threshold corresponding to a benign or malignant lesion, according to the first change information and the second change information.

[0294] In some embodiments, the processing device 110 may determine, based on the first change information, whether the increase in the change of the lesion area is less than a first change threshold to obtain a first determination result; and based on the second change information, determine whether the increase in the pressure change of the lesion area is greater than a second change threshold to obtain a second determination result; and then, based on the first determination result and the second determination result, determine the benign or malignant information of the lesion.

[0295] The first change threshold can be a threshold for the change in the area of ​​a malignant lesion, used to determine whether the lesion meets the characteristics of the area change of a malignant lesion. It is understood that malignant lesions are relatively hard and not easily deformed. If the increase in the change in the lesion area is less than the first change threshold, it indicates a higher probability that the lesion is malignant, and the first definitive conclusion can be that the lesion is malignant.

[0296] The second change threshold can be a pressure change threshold for malignant lesions, used to determine whether the lesion meets the pressure change characteristics of a malignant lesion. If the increase in pressure change in the lesion area is greater than the second change threshold, it indicates that the lesion is more likely to be malignant, and the second determination result can be that the lesion is malignant.

[0297] It should be noted that the area / pressure change characteristics (such as the increase) of adipose tissue, glandular tissue, benign lesions, and malignant lesions differ. For example, the area / pressure change characteristics of a benign lesion area may be similar to those of a glandular area, but differ significantly from those of a malignant lesion area. By judging whether the increase in area change is less than a first threshold and whether the increase in pressure information is greater than a second threshold, it is possible to determine whether a lesion is malignant, thus making the identification of benign or malignant lesions more accurate.

[0298] In some embodiments, the processing device 110 can also determine the benign or malignant information of the lesion based on the pressure change rate of the lesion. For example, the processing device 110 can set pressure change response relationships corresponding to different types of lesions and determine the benign or malignant information of the lesion based on the pressure change response relationships.

[0299] In some embodiments, the pressure change response relationship can be represented by a pressure change curve (such as a function curve). For example, the horizontal axis represents time, and the vertical axis represents pressure value (such as pressure value or pressure intensity value). The processing device 110 can plot the pressure change curve of the lesion based on the dynamic pressure distribution map and its lesion identification results. The slope of the pressure change curve at any given time point represents the rate of pressure change; a larger slope indicates a faster change. The processing device 110 can determine the benign or malignant information of the lesion based on the reference pressure change rate corresponding to different types of lesions. The reference pressure change rate can be determined based on historical medical records. For example, the rate of pressure change exhibited by different lesions under reference pressure parameters (such as reference compression thickness and reference compression intensity) can be used as the reference pressure change rate.

[0300] In some embodiments, the processing device 110 may determine lesion depth information based on the following steps 1731 to 1732.

[0301] Step 1731: Based on the lesion identification results corresponding to multiple pressure distribution maps, determine the time of lesion appearance.

[0302] The processing device 110 can arrange the pressure distribution maps of identified lesions in chronological order of acquisition time, and determine the acquisition time of the earliest acquired pressure distribution map as the lesion appearance time. For example, if no lesion appears in the first and second pressure distribution maps of the dynamic pressure distribution map, but lesions begin to appear from the third pressure distribution map, then the acquisition time of the third pressure distribution map is the lesion appearance time.

[0303] Step 1732: Determine the lesion depth information based on the time of lesion appearance.

[0304] It is understood that lesions may be located in different locations within the target breast (e.g., the center of the breast, the edge of the breast, etc.). During the compression of the target breast, the closer the lesion is to the pressure sensor, the faster the pressure sensor detects the pressure value of the lesion, and the faster the lesion area appears in the dynamic pressure distribution map. Different lesion depths correspond to different lesion appearance times; the earlier the appearance time, the closer the lesion is to the pressure sensor. In some embodiments, the distance between the lesion and the pressure sensor, or the compression plate / support plate, can be determined based on the location of the pressure sensor and the lesion appearance time, serving as lesion depth information.

[0305] In some embodiments, the processing device 110 can determine lesion depth information based on the lesion appearance time and a lesion depth reference relationship. The lesion depth reference relationship can be in the form of a data table, function, etc., and can be obtained by fitting sample data. Sample data may include, but is not limited to, experimental data (such as simulation data) or historical case data. For example, the sample data may include a dynamic pressure distribution map of each sample patient during breast compression, and the lesion appearance time is obtained from the pressure distribution map. Based on the actual lesion information (such as location) detected in the sample patient, the lesion depth is determined. Then, based on the sample compression parameters (such as compression force, compression thickness), lesion appearance time, and lesion depth corresponding to multiple sample patients, a lesion depth reference relationship table is fitted and generated. In some embodiments, when generating the lesion depth reference relationship table, the sample data may also include patient-related information (such as age, breast shape, and the proportion of various breast tissue components), thereby making the lesion depth reference relationship table more targeted. In practical applications, the processing device 110 can determine the time of lesion appearance based on the lesion identification results corresponding to multiple pressure distribution maps of the target patient, and match the corresponding lesion depth in the lesion depth reference table based on the relevant information of the target patient, compression parameters and lesion appearance time.

[0306] Furthermore, as the pressure plate continues to apply pressure, the shape / area of ​​lesions closer to the pressure sensor changes less over time. Conversely, the shape / area of ​​lesions farther from the pressure sensor changes more over time. Therefore, in some embodiments, the processing device 110 further combines the information on the changes in the shape and area of ​​the lesion region over time to determine the lesion depth information.

[0307] Some embodiments in this specification, through dynamic pressure distribution maps, can determine the lesion identification results of the target breast and its changes over time (such as changes in lesion area, speed of appearance, etc.), thereby accurately assessing the benign or malignant information and depth information of the lesion, thus providing users with richer and more accurate lesion information.

[0308] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

[0309] Furthermore, this specification uses specific terms to describe embodiments thereof. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "an embodiment," "one embodiment," or "an alternative embodiment" in different locations throughout this specification do not necessarily refer to the same embodiment. Moreover, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0310] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods described herein. Although various examples have been discussed in the foregoing disclosure of some embodiments of the invention that are currently considered useful, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the spirit and scope of the embodiments described herein. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely using software solutions, such as installing the described system on existing servers or mobile devices.

[0311] Similarly, it should be noted that, in order to simplify the description disclosed herein and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of embodiments in this specification may sometimes combine multiple features into a single embodiment, drawing, or description thereof. However, this method of disclosure does not imply that the subject matter of this specification requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of a single embodiment disclosed above.

[0312] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters should take into account specified significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of range in some embodiments of this specification are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0313] For each patent, patent application, patent application publication, and other material, such as articles, books, specifications, publications, and documents, referenced in this specification, the entire contents of which are incorporated herein by reference. This excludes historical application documents that are inconsistent with or conflict with the content of this specification, as well as documents that limit the broadest scope of the claims in this specification (currently or subsequently appended to this specification). It should be noted that in the event of any inconsistency or conflict between the descriptions, definitions, and / or terminology used in the supplementary materials to this specification and the content of this specification, the descriptions, definitions, and / or terminology used in this specification shall prevail.

[0314] Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments described herein. Other variations may also fall within the scope of this specification. Therefore, alternative configurations of the embodiments described herein are intended to be illustrative rather than limiting, and should be considered consistent with the teachings of this specification. Accordingly, the embodiments described herein are not limited to those explicitly introduced and described herein.

Claims

1. A method of imaging a breast, characterized by, The method includes: Acquire a pre-exposure image and a pressure distribution map of the target breast, wherein the pre-exposure image is acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map is acquired by a pressure sensor during the pre-exposure process; Based on the pressure distribution map, the target area in the pre-exposure image is determined; The target exposure parameters are determined based on the target area and the pre-exposure parameters corresponding to the pre-exposure image; Based on the target exposure parameters, the breast scanning device is controlled to perform a target scan on the target breast to obtain a target exposure image.

2. The method of claim 1, wherein, The pressure sensor is disposed on the surface of the compression plate and / or support platform that is in contact with the mammary gland.

3. The method of claim 1, wherein, Determining the target region in the pre-exposure image based on the pressure distribution map includes: Based on the lesion threshold, the reference lesion area in the pressure distribution map is determined; The target region in the pre-exposed image is determined based on the reference lesion region.

4. The method of claim 3, wherein, The pressure distribution map comprises multiple sub-regions, each sub-region corresponding to a pressure value. The lesion threshold is determined in the following manner: Based on the distribution of multiple pressure values ​​corresponding to the multiple sub-regions, multiple candidate sub-regions are determined; The lesion threshold is determined based on the multiple pressure values ​​corresponding to the multiple candidate sub-regions.

5. The method of claim 3, wherein The lesion threshold is determined in the following way: The dynamic pressure distribution map is acquired by the pressure sensor during the process of the target mammary gland being compressed to the compressed state; Based on the dynamic pressure distribution map, the lesion depth information is determined; The lesion threshold is determined based on the location of the pressure sensor and the lesion depth information.

6. The method of claim 1, wherein, Determining the target exposure parameters based on the target region and the pre-exposure parameters corresponding to the pre-exposure image includes: Determine the average gray level of the target region; The relationship factor is determined based on the average gray level and the target gray level of the target exposure image; The target exposure parameters are determined based on the pre-exposure parameters corresponding to the pre-exposure image and the relationship factor.

7. The method of claim 1, wherein, Before pre-exposing the target mammary gland, the method further includes: The breast scanning device is controlled to compress the target breast to obtain a first pressure distribution map of the target breast, which is acquired by a pressure sensor from the target breast under compression. Based on the first pressure distribution map, determine whether the current positioning of the target mammary gland is consistent with the target positioning corresponding to the target scan; In response to determining that the current positioning of the target breast is consistent with the target positioning, the breast scanning device is controlled to perform the pre-exposure on the target breast.

8. The method of claim 1, wherein, The method further includes: A dynamic pressure distribution map is acquired by the pressure sensor during the process in which the target mammary gland is compressed to the compressed state. Based on the dynamic pressure distribution map, lesion information related to the target breast is determined, and the lesion information includes at least the lesion location information and the benign or malignant information of the lesion; Based on the lesion information, a marker related to the lesion information is added to the target exposure image for image display.

9. A breast imaging system characterized by, The system includes: The acquisition module is used to acquire a pre-exposure image and a pressure distribution map of the target breast, wherein the pre-exposure image is acquired by a breast scanning device pre-exposure the target breast under compression, and the pressure distribution map is acquired by a pressure sensor during the pre-exposure process; The determination module is used for: Based on the pressure distribution map, the target area in the pre-exposure image is determined; The target exposure parameters are determined based on the target area and the pre-exposure parameters corresponding to the pre-exposure image; Based on the target exposure parameters, the breast scanning device is controlled to perform a target scan on the target breast to obtain a target exposure image.

10. A computer-readable storage medium storing computer instructions that, when read by a computer, execute the breast imaging method as described in claims 1 to 8.

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