Method for de-scattering of breast images and breast x-ray machine

Abstract

This application relates to the field of medical imaging, and in particular to a method for descattering breast images, a breast X-ray machine, a computer device, and a storage medium. The method includes: pre-exposing multiple equivalent phantoms based on a preset dose value to obtain pre-exposed images corresponding to each of the equivalent phantoms; performing descattering processing on each of the pre-exposed images based on the compression thickness and composition of each equivalent phantom to determine the coupling relationship between a target grayscale value and the compression thickness and composition; determining a target dose value based on the compression thickness, composition, and coupling relationship of the target breast; and performing formal exposure on the target breast based on the target dose value to obtain a formally exposed image. This invention employs a gridless descattering method to descatter the pre-exposed images, enabling more accurate determination of the target dose value.

Description

Technical Field

[0001] This application relates to the field of medical imaging, and in particular to a method for descattering breast images, a mammography X-ray machine, a computer device, and a storage medium. Background Technology

[0002] During the process of irradiating and penetrating an object, Compton scattering occurs, resulting in scattered X-rays that are received by the detector, contributing to the grayscale. In fact, this portion of the radiation is useless information, and since it passes through the body and strikes the detector randomly, it contributes to the reaction of the main radiation beam. Therefore, it is essential to remove it as much as possible in this field.

[0003] Therefore, most mammogram machines employ one-dimensional or two-dimensional grids to filter out scattered components, leaving only the useful main radiation components for subsequent image algorithm analysis and post-processing. Using grids has the following drawbacks: 1. Current detectors primarily use energy accumulation imaging, so the attenuation of the grid during the process of achieving the same grayscale increases the patient's absorbed dose; this additional dose results in unnecessary irradiation. Summary of the Invention

[0004] Therefore, it is necessary to provide a method for descattering breast images, a breast X-ray machine, a computer device, and a storage medium to address the aforementioned technical problems.

[0005] In a first aspect, embodiments of the present invention provide a method for descattering breast images, the method comprising:

[0006] Multiple equivalent phantoms are pre-exposed based on preset dose values ​​to obtain pre-exposed images of each equivalent phantom.

[0007] Based on the compression thickness and composition of each equivalent phantom, descattering processing is performed on each pre-exposure image to determine the coupling relationship between the target gray value and the compression thickness and composition.

[0008] The target dose value is determined based on the compression thickness, composition, and coupling relationship of the target mammary gland;

[0009] The target mammary gland is subjected to formal exposure based on the target dose value to obtain a formal exposure image.

[0010] In one embodiment, the descattering processing of each pre-exposure image based on the compression thickness and composition of each equivalent phantom includes:

[0011] Based on the compression thickness and composition of each equivalent phantom, the first scattering nucleus corresponding to the equivalent phantom is determined;

[0012] The pre-exposure images are subjected to iterative descattering processing based on each pre-exposure image and the corresponding first scattering kernel.

[0013] In one embodiment, the iterative descattering process of each of the pre-exposure images based on each pre-exposure image and the corresponding first scattering kernel includes:

[0014] Each of the pre-exposure images is convolved with the corresponding first scattering kernel to obtain the scattering image corresponding to each of the pre-exposure images;

[0015] Based on each of the pre-exposure images and each of the scattering images, each principal emission image is obtained;

[0016] If any of the primary emission images does not meet the convergence condition, the corresponding first scattering kernel is updated until each of the primary emission images meets the convergence condition.

[0017] In one embodiment, determining the target dose value based on the compression thickness, composition, and coupling relationship of the target breast includes:

[0018] Based on the compression thickness, composition, and coupling relationship of the target mammary gland, the corresponding target grayscale value is determined;

[0019] The target dose value is determined based on the target grayscale value.

[0020] In one embodiment, the step of performing formal exposure on the target mammary gland based on the target dose value to obtain a formal exposure image includes:

[0021] Based on the target dose value, determine the formal exposure parameters;

[0022] The target breast is subjected to formal exposure based on the formal exposure parameters to obtain a formal exposure image.

[0023] In one embodiment, it further includes:

[0024] Based on the compression thickness and composition of the target mammary gland, the second scattering nucleus of the target mammary gland is determined;

[0025] The formally exposed image is subjected to iterative descattering processing based on the second scattering kernel.

[0026] In one embodiment, the method further includes:

[0027] The formally exposed image after descattering is then subjected to noise reduction processing.

[0028] Secondly, embodiments of the present invention provide a mammography X-ray machine, including a scanning device and a processing device, wherein...

[0029] The scanning device is used to pre-expose multiple equivalent phantoms based on a preset dose value to obtain pre-exposed images of each equivalent phantom; and to perform formal exposure on a target mammary gland based on a target dose value to obtain a formally exposed image.

[0030] The processing device is used to perform descattering processing on each of the pre-exposure images based on the compression thickness and composition of each of the equivalent phantoms, so as to determine the coupling relationship between the target gray value and the compression thickness and the composition; and to determine the target dose value based on the compression thickness, composition and the coupling relationship of the target mammary gland.

[0031] Thirdly, embodiments of the present invention provide a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the method described in the first aspect.

[0032] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein the processor executes the computer program to implement the steps described in the first aspect.

[0033] The above-described method, mammography machine, computer equipment, and storage medium employ a gridless descattering method to descatter the pre-exposure image, thereby determining the coupling relationship between the target gray value and the compression thickness and composition. Based on the compression thickness, composition, and coupling relationship of the target mammary gland, the target dose value can be determined more accurately. Compared with the grid descattering method, the target dose value used in this invention is lower. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the structure of a mammography X-ray machine in one embodiment;

[0035] Figure 2 This is a flowchart illustrating a method for descattering breast images in one embodiment;

[0036] Figure 3 This is a flowchart illustrating a descattering processing method for a pre-exposed image in one embodiment. Figure 1 ;

[0037] Figure 4 This is a flowchart illustrating a descattering processing method for a pre-exposed image in one embodiment. Figure 2 ;

[0038] Figure 5 This is a schematic diagram of the overall process of a pre-exposure image descattering processing method in one embodiment;

[0039] Figure 6 This is a flowchart illustrating a method for determining a target dose value in one embodiment;

[0040] Figure 7 This is a flowchart illustrating the formal exposure method in one embodiment;

[0041] Figure 8 This is a flowchart illustrating a method for descattering a formally exposed image in one embodiment;

[0042] Figure 9 This is a schematic diagram of the structure of a computer device in one embodiment. Detailed Implementation

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, 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 the present invention. For those skilled in the art, the present invention can be applied to other similar scenarios based on these drawings without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0044] As indicated in this invention and the claims, unless the context clearly indicates otherwise, the words "a," "an," "an," 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.

[0045] While this invention makes various references to certain modules in systems according to embodiments of the invention, any number of different modules can be used and run on computing devices and / or processors. Modules are illustrative only, and different aspects of the system and method may use different modules.

[0046] It should be understood that when a unit or module is described as "connected" or "coupled" to other units, modules, or blocks, it may refer to a direct connection or coupling, or communication with other units, modules, or blocks, or the presence of intermediate units, modules, or blocks, unless the context explicitly indicates otherwise. The term "and / or" as used herein may include any and all combinations of one or more of the related listed items.

[0047] Figure 1 This is an application scenario diagram of a mammography X-ray machine 100 according to some embodiments of this application.

[0048] like Figure 1As shown, a mammography X-ray machine 100 may include a scanning device 110, a network 120, at least one terminal 130, a processing device 140, and a storage device 150. In some embodiments, the scanning device 110, at least one terminal 130, processing device 140, and / or storage device 150 may be connected or communicate with each other via wired connection, wireless connection (e.g., network 120), or any combination thereof. The connection method between the components of the mammography X-ray machine 100 may be variable. By way of example only, the scanning device 110 may be connected to the processing device 140 via network 120, such as... Figure 1 As shown. For example, scanning device 110 can be directly connected to processing device 140. For example, storage device 150 can be connected to processing device 140 via network 120, or storage device 150 can be directly connected to processing device 140, as shown. Figure 1 As shown. For example, terminal 130 can be connected to processing device 140 via network 120, or terminal 130 can be directly connected to processing device 140, such as... Figure 1 As shown.

[0049] The scanning device 110 may include a radiation source 111, a pressure plate 113, a detector 114, a motor (not shown in the figure), and a target breast 115.

[0050] In some embodiments, the X-ray source 111 can be fixed or moved (including left, right, up, and down) above the stationary, compressed target breast 115, or the X-ray source 111 can rotate around the stationary, compressed target breast 115 as a center of rotation. In some embodiments, the X-ray source 111 can emit soft X-rays (such as molybdenum target X-rays of approximately 30 kV). In some embodiments, the target material of the X-ray source 111 can include tungsten, molybdenum, copper, rhodium, silver, aluminum, etc. In some embodiments, the X-rays 112 emitted by the X-ray source 111 (e.g., X-rays) can be considered as a pencil beam matrix. In some embodiments, the compression plate 113 compresses the target breast 115 to regularly reduce the thickness of the target breast 115, making the target breast 115 thin and uniform. Overlapping soft tissues in the structure of the target breast 115 are separated. The target breast 115 is fixed to prevent image blurring caused by movement of the target breast 115. In some embodiments, the smaller the thickness of the target breast 115, the fewer scattered rays it produces, and the higher the image contrast. Therefore, within the subject's tolerance range (e.g., pain tolerance), the greater the compression on the target breast 115, the better.

[0051] In some embodiments, detector 114 may include an X-ray detector, film, etc. In some embodiments, the structure of the X-ray detector may include a detector housing (not shown), an image receiver, etc.

[0052] In some embodiments, the use of the scanning device 110 includes: the subject placing the target breast 115 above the housing of the detector 114 (not shown in the figure), the lower surface of the compression plate 113 adhering to the upper part of the target breast 115, and activating the motor to slowly press down the compression plate 113 until a certain compression state is reached, wherein the certain compression state is related to the subject's tolerance range (e.g., pain tolerance). The radiation source 111 emits radiation 112 that penetrates the compression plate, the compressed target breast 115 (i.e., the target breast 115 at a certain compression thickness), the air layer between the compression plate and the detector (i.e., the air layer at a certain compression thickness), and / or the air layer between the detector housing (not shown in the figure) and the image receiver, before imaging on the detector 114. In some embodiments, the radiation source can be fixed and moved (including left, right, up, and down movement) above the compressed breast, or the radiation source can be rotated around the compressed breast as a center of rotation (e.g., -45° to 45° rotation), and then at least one two-dimensional breast image can be directly acquired by the detector. In other embodiments, a three-dimensional breast image can be reconstructed using at least two two-dimensional breast images.

[0053] Network 120 may include any suitable network that can facilitate the exchange of information and / or data between the mammography machine 100 and the mammography machine 100. In some embodiments, at least one component of the mammography machine 100 (e.g., scanning device 110, processing device 140, storage device 150, terminal 130) may exchange information and / or data with at least one other component of the mammography machine 100 via network 120. For example, processing device 140 may obtain breast images (e.g., two-dimensional breast images) from scanning device 110 via network 120. As another example, processing device 140 may obtain user (e.g., doctor) instructions from terminal 130 via network 120. Network 120 may include or include public networks (e.g., the Internet), private networks (e.g., local area networks (LANs)), wired networks, wireless networks (e.g., 802.11 networks, Wi-Fi networks), Frame Relay networks, virtual private networks (VPNs), satellite networks, telephone networks, routers, hubs, switches, server computers, and / or any combination thereof. For example, network 120 may include a wired network, a wireless network, a fiber optic network, a telecommunications network, an intranet, a wireless local area network (WLAN), a metropolitan area network (MAN), a public switched telephone network (PSTN), a Bluetooth™ network, a ZigBee™ network, a near field communication (NFC) network, or any combination thereof. In some embodiments, network 120 may include at least one network access point. For example, network 120 may include wired and / or wireless network access points, such as base stations and / or internet switching points, and at least one component of the mammography machine 100 may connect to network 120 through the access point to exchange data and / or information.

[0054] In some embodiments, a user (e.g., a doctor) can operate the mammography machine 100 via terminal 130. Terminal 130 may include one or more combinations of mobile devices 131, tablet computers 132, laptop computers 133, etc. In some embodiments, terminal 130 may include mobile devices 131, tablet computers 132, laptop computers 133, etc., or any combination thereof.

[0055] In some embodiments, terminal 130 may include input devices, output devices, etc. Input devices may include alphanumeric and other keys, and may employ a keyboard, touchscreen (e.g., with haptic or haptic feedback) input, voice input, eye-tracking input, brain monitoring system, or any other similar input mechanism. Input information received through the input devices may be transmitted via, for example, a bus, to processing device 140 for further processing. Other types of input devices may include cursor control devices, such as a mouse, trackball, or arrow keys. Output devices may include a display, speaker, printer, etc., or any combination thereof. In some embodiments, terminal 130 may include a portion of processing device 140.

[0056] Processing device 140 can process data and / or information obtained from scanning device 110, storage device 150, terminal 130, or other components of mammography machine 100. For example, processing device 140 can perform descattering processing based on breast images (e.g., two-dimensional breast images) generated by scanning device 110. In some embodiments, processing device 140 may include a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processing device 140 can access information and / or data from scanning device 110, storage device 150, and / or terminal 130 via network 120. For example, processing device 140 may be directly connected to scanning device 110, terminal 130, and / or storage device 150 to access information and / or data. In some embodiments, processing device 140 may be implemented on a cloud platform. For example, cloud platforms may include private clouds, public clouds, hybrid clouds, community clouds, distributed clouds, inter-cloud clouds, multi-layer clouds, etc., or any combination thereof. In some embodiments, processing device 140 may be a computing device 200 having one or more components (e.g., Figure 2 The above) is executed.

[0057] Storage device 150 can store data, instructions, and / or any other information. In some embodiments, storage device 150 can store prior data. The prior data includes parameters of the mammography X-ray machine 100 and first scattering nucleus data.

[0058] In some embodiments, storage device 150 may store data (e.g., the compression thickness of mechanical feedback) obtained from scanning device 110, terminal 130, and / or processing device 140. In some embodiments, storage device 150 may store data and / or instructions used by processing device 140 to perform or use in order to accomplish the exemplary methods described herein. In some embodiments, storage device 150 may include mass storage, removable storage, volatile read-write storage, read-only storage (ROM), etc., or any combination thereof. Exemplary mass storage may include disks, optical disks, solid-state drives, etc. Exemplary removable storage may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tapes, etc. Exemplary volatile read-write storage may include random access memory (RAM). Exemplary RAM may include dynamic random access memory (DRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), static random access memory (SRAM), thyristor random access memory (T-RAM), and zero capacitance random access memory (Z-RAM), etc. Exemplary read-only memories may include mask read-only memories (MROMs), programmable read-only memories (PROMs), erasable programmable read-only memories (PEROMs), electrically erasable programmable read-only memories (EEPROMs), optical disc read-only memories (CD-ROMs), and digital multifunction disk read-only memories, etc. In some embodiments, storage device 150 may be implemented on a cloud platform, as described elsewhere in this application.

[0059] In some embodiments, storage device 150 may be connected to network 120 to communicate with at least one other component of mammography machine 100 (e.g., processing device 140, terminal 130). At least one component of mammography machine 100 may access data or instructions in storage device 150 via network 120. In some embodiments, storage device 150 may include a portion of processing device 140.

[0060] It should be noted that the above is provided for illustrative purposes only and is not intended to limit the scope of this application. Various changes and modifications can be made by those skilled in the art based on the guidance of the content of this application. Features, structures, methods, and other features of the exemplary embodiments described in this application can be combined in various ways to obtain other and / or alternative exemplary embodiments.

[0061] Figure 2 This is a flowchart of a descattering processing method for breast images provided in an embodiment of the present invention.

[0062] like Figure 2 As shown, a descattering processing method for breast images is proposed, including the following steps:

[0063] S202: Pre-expose multiple equivalent phantoms based on preset dose values ​​to obtain pre-exposed images of each equivalent phantom.

[0064] Equivalent phantoms are used to simulate mammary glands with different glandular compositions in the human body. For the human body, the compression thickness varies from 1 cm to 20 cm, and the glandular composition also varies from 0% to 100%. Therefore, equivalent phantoms with different glandular compositions and compression thicknesses are constructed by combining glandular blocks and fat blocks.

[0065] The compression thickness can be the distance between the compression plate and the detector after the target mammary gland (equivalent phantom) is compressed by the compression plate.

[0066] Pre-exposed images can be, for example, two-dimensional breast images or three-dimensional breast images.

[0067] The components can be glandular components; a higher proportion of glandular components corresponds to a higher scattering.

[0068] S204: Based on the compression thickness and composition of each equivalent phantom, descattering processing is performed on each pre-exposure image to determine the coupling relationship between the target gray value and the compression thickness and the composition.

[0069] The pre-exposure image after scattering processing can retain the complete main ray component.

[0070] It is understood that the scattering component in the pre-exposure image is related to the compression thickness and composition of the equivalent phantom. Therefore, in this embodiment, the pre-exposure image is descattered based on the compression thickness and composition of each equivalent phantom.

[0071] S206: Determine the target dose value based on the compression thickness, composition, and coupling relationship of the target mammary gland.

[0072] S208: Perform formal exposure on the target mammary gland based on the target dose value to obtain a formal exposure image.

[0073] Based on steps S202-S208 above, in the pre-exposure stage, each pre-exposure image undergoes descattering processing to determine the coupling relationship between the target grayscale value and the compression thickness and the constituent components; in the formal exposure stage, based on the compression thickness of the target mammary gland, the constituent components, and the coupling relationship, the target dose value is determined; based on the target dose value, the target mammary gland is formally exposed to obtain the formally exposed image. This embodiment can determine the target dose value more accurately, and compared to the method using a grid descattering filter, this embodiment uses a lower target dose value.

[0074] Furthermore, since this embodiment employs a gridless descattering method, it can further achieve miniaturization of the mammography X-ray machine and reduce its cost.

[0075] Because the processing precision requirements of the grid are high, and the uniformity difference of the grid can affect the controllability of the imaging, this embodiment uses a gridless descattering method, which improves the controllability of the mammography X-ray machine.

[0076] In step S202, as Figure 3 As shown, the descattering processing of each pre-exposure image based on the compression thickness and composition of each equivalent phantom includes:

[0077] S302: Based on the compression thickness and composition of each equivalent phantom, determine the first scattering nucleus corresponding to the equivalent phantom.

[0078] It is understood that the first scattering nucleus of the equivalent phantom is related to the compression thickness and composition of the equivalent phantom. Therefore, in this embodiment, the first scattering nucleus of the corresponding equivalent phantom can be determined based on the compression thickness and composition of each equivalent phantom.

[0079] S304: Perform iterative descattering processing on each of the pre-exposure images based on each of the pre-exposure images and the corresponding first scattering kernel.

[0080] For example, in this embodiment, the Monte Carlo algorithm is used to process each pre-exposure image and the corresponding first scattering kernel, thereby realizing the descattering iterative processing of each pre-exposure image.

[0081] In step S304, as Figure 4 As shown, the iterative descattering process of each pre-exposure image based on each pre-exposure image and the corresponding first scattering kernel specifically includes:

[0082] S402: Convolve each of the pre-exposure images with the corresponding first scattering kernel to obtain the scattering image corresponding to each of the pre-exposure images;

[0083] S404: Based on each of the pre-exposure images and each of the scattering images, obtain each principal emission image;

[0084] Wherein, the primary image = pre-exposure image - scattering image.

[0085] S406: If each of the primary emission images does not meet the convergence condition, update the corresponding first scattering kernel until each of the primary emission images meets the convergence condition.

[0086] One example of a convergence condition is that the error between the calculated primary emission image and the measured primary emission image is less than an error threshold.

[0087] If the convergence condition is not met in any of the main images, the corresponding first scattering kernel is updated until the convergence condition is met in each of the main images, thereby better removing the scattering components in each pre-exposure image.

[0088] Figure 5 This is a flowchart of the overall process for descattering a pre-exposed image. Figure 5 As shown, a pre-exposure image is downsampled and saved. The compression thickness and composition of the equivalent phantom corresponding to the pre-exposure image are obtained. Based on the compression thickness and composition, a corresponding first scattering kernel is determined. The pre-exposure image and the first scattering kernel are convolved to obtain a scattering image. The difference between the pre-exposure image and the scattering image is taken to obtain the principal scattering image. It is determined whether the principal scattering image meets the convergence condition. If it does not converge, the process returns to the step of obtaining the compression thickness and composition until the principal scattering image meets the convergence condition. Under the condition that the principal scattering image meets the convergence condition, the scattering image is upsampled, and the difference between the pre-exposure image and the upsampled scattering image is taken to obtain the principal scattering image, thereby realizing the descattering processing of the pre-exposure image.

[0089] In step S206, as Figure 6 As shown, determining the target dose value based on the compression thickness, composition, and coupling relationship of the target breast includes:

[0090] S602: Based on the compression thickness, composition, and coupling relationship of the target mammary gland, determine the corresponding target gray value;

[0091] The coupling relationship can be, for example, a functional relationship between the target gray value and the compression thickness and composition. Based on the compression thickness and composition of the target mammary gland, the corresponding target gray value can be determined.

[0092] S604: Determine the target dose value based on the target grayscale value.

[0093] There is a correspondence between the target grayscale value and the target dose value, so the corresponding target dose value can be determined based on the target grayscale value.

[0094] In this embodiment, considering the coupling relationship between the target gray value and the compression thickness and composition, the target dose value can be determined more accurately based on the compression thickness, composition and coupling relationship of the target mammary gland.

[0095] In step S208, as Figure 7 As shown, the step of performing formal exposure on the target breast based on the target dose value to obtain a formal exposure image includes:

[0096] S702: Based on the target dose value, determine the formal exposure parameters;

[0097] S704: Perform formal exposure on the target mammary gland based on the formal exposure parameters to obtain a formal exposure image.

[0098] Given an accurate target dose value, this embodiment can obtain accurate formal exposure parameters. Formal exposure parameters include, for example, the voltage and current used in the formal exposure.

[0099] Considering that the final exposure image is still a mixed ray composition image containing both principal and scattered components, it is necessary to perform descattering processing on the final exposure image. For example... Figure 8 As shown, it specifically includes:

[0100] S802: Based on the compression thickness and composition of the target mammary gland, determine the second scattering nucleus of the target mammary gland;

[0101] S804: Iterative descattering processing of the formally exposed image based on the formally exposed image and the second scattering kernel.

[0102] It should be noted that the descattering process in steps S802-S804 is the same as the descattering process of the pre-exposure image, so it will not be described again.

[0103] Considering that noise components from low-frequency scattering lines cannot be removed from the final exposure image after descattering processing, in some embodiments, denoising and enhancement algorithms are used to denoise the final exposure image after descattering processing to obtain a higher quality image.

[0104] It should be understood that although the steps in the flowchart above are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0105] In one embodiment, such as Figure 1As shown, the present invention provides a mammography X-ray machine 100, including a scanning device 110 and a processing device 140. The scanning device 110 is used to pre-expose multiple equivalent phantoms based on a preset dose value to obtain pre-exposed images of each equivalent phantom; and to perform formal exposure on a target mammary gland based on a target dose value to obtain a formal exposure image. The processing device 140 is used to perform descattering processing on each pre-exposed image based on the compression thickness and composition of each equivalent phantom to determine the coupling relationship between the target gray value and the compression thickness and composition; and to determine the target dose value based on the compression thickness, composition, and coupling relationship of the target mammary gland.

[0106] Specific limitations regarding the scanning and processing equipment can be found in the above description of the descattering processing method, and will not be repeated here. Each module in the aforementioned device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in a computer device, or stored in software in the memory of a computer device, so that the processor can call and execute the corresponding operations of each module.

[0107] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 9 As shown. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores motion detection data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in any of the above-described embodiments of the movie imaging method.

[0108] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0109] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in any of the above-described movie imaging method embodiments.

[0110] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0111] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0112] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method of de-scattering processing of a breast image, characterized by, The method includes: Multiple equivalent phantoms are pre-exposed based on preset dose values ​​to obtain pre-exposed images of each equivalent phantom. Based on the compression thickness and composition of each equivalent phantom, descattering processing is performed on each pre-exposure image to determine the coupling relationship between the target gray value and the compression thickness and composition. The target dose value is determined based on the compression thickness, composition, and coupling relationship of the target mammary gland; The target mammary gland is subjected to formal exposure based on the target dose value to obtain a formal exposure image.

2. The method of claim 1, wherein, The descattering processing of each pre-exposure image based on the compression thickness and composition of each equivalent phantom includes: Based on the compression thickness and composition of each equivalent phantom, the first scattering nucleus corresponding to the equivalent phantom is determined; The pre-exposure images are subjected to iterative descattering processing based on each pre-exposure image and the corresponding first scattering kernel.

3. The method of claim 2, wherein, The descattering iterative processing of each pre-exposure image based on each pre-exposure image and the corresponding first scattering kernel includes: Each of the pre-exposure images is convolved with the corresponding first scattering kernel to obtain the scattering image corresponding to each of the pre-exposure images; Based on each of the pre-exposure images and each of the scattering images, each principal emission image is obtained; If any of the primary emission images does not meet the convergence condition, the corresponding first scattering kernel is updated until each of the primary emission images meets the convergence condition.

4. The method of claim 1, wherein, The determination of the target dose value based on the compression thickness, composition, and coupling relationship of the target breast includes: Based on the compression thickness, composition, and coupling relationship of the target mammary gland, the corresponding target grayscale value is determined; The target dose value is determined based on the target grayscale value.

5. The method of claim 1, wherein, The step of performing formal exposure on the target breast based on the target dose value to obtain a formal exposure image includes: Based on the target dose value, determine the formal exposure parameters; The target breast is subjected to formal exposure based on the formal exposure parameters to obtain a formal exposure image.

6. The method of claim 1, wherein, Also includes: Based on the compression thickness and composition of the target mammary gland, the second scattering nucleus of the target mammary gland is determined; The formally exposed image is subjected to iterative descattering processing based on the second scattering kernel.

7. The method of claim 6, wherein, The method further includes: The formally exposed image after descattering is then subjected to noise reduction processing.

8. A mammography X-ray apparatus, characterized by, This includes scanning equipment and processing equipment, among which, The scanning device is used to pre-expose multiple equivalent phantoms based on a preset dose value to obtain pre-exposed images of each equivalent phantom; and to perform formal exposure on a target mammary gland based on a target dose value to obtain a formally exposed image. The processing device is used to perform descattering processing on each of the pre-exposure images based on the compression thickness and composition of each of the equivalent phantoms, so as to determine the coupling relationship between the target gray value and the compression thickness and the composition; and to determine the target dose value based on the compression thickness, composition and the coupling relationship of the target mammary gland. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, which is executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

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