Medical image acquisition method and system

Abstract

The embodiment of the invention discloses a medical image acquisition method and system. The method comprises the following steps: acquiring posture information of a photographed person; at least based on the posture information of the photographed person, determining whether a matched photographing protocol exists in the historical photographing protocols: if yes, taking at least a part of acquisition parameters in the matched photographing protocol as current acquisition parameters; if not, applying or at least partially modifying the default acquisition parameter or inputting the acquisition parameter as the current acquisition parameter; and shooting an image of the shot person based on the current acquisition parameters. According to the method and the device, the current acquisition parameters can be automatically matched from the historical shooting protocol for shooting according to the posture information of the shot person, and the quality of the shot image is automatically evaluated, so that the shooting efficiency and the quality of the image are improved.

Description

Description of the case

[0001] This application is a divisional application filed for the Chinese application with a filing date of May 6, 2020, application number 202010374378.3, and invention name “A method and system for medical image acquisition”. Technical Field

[0002] The present invention relates to the field of medical device imaging technology, and in particular to a method and system for medical image acquisition. Background Art

[0003] Radiological equipment (such as DR equipment, X-ray machines, breast X-ray machines, etc.) emits radiation (such as X-rays) to shoot and / or treat patients. In the prior art, the acquisition parameters used by radiological equipment are generally the default acquisition parameters of the radiological equipment. When the quality of the acquired image cannot meet the diagnostic requirements, the technician will manually adjust the acquisition parameters based on experience.

[0004] Therefore, it is necessary to provide a method and system for medical image acquisition to improve shooting efficiency and image quality. Summary of the invention

[0005] One of the embodiments of the present specification provides a method for medical image acquisition, comprising: obtaining body information of a subject, wherein the body information of the subject includes body size data of a photographed part; further comprising: obtaining two-dimensional image data of the subject through multiple 2D camera devices; performing three-dimensional reconstruction based on the two-dimensional image data to obtain three-dimensional contour data of the subject; and obtaining the body size data of the photographed part of the subject based on the three-dimensional contour data of the subject; wherein the body size data of the photographed part includes a relative distance and a relative angle between the photographed part and a rack, and the relative distance and the relative angle between the photographed part and the rack are based on the The three-dimensional contour data of the subject and the position of the 2D camera device relative to the frame are determined; at least based on the body shape information of the subject, it is determined whether there is a matching shooting protocol in the historical shooting protocols: if so, at least a part of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters; if not, the default acquisition parameters or the input acquisition parameters are applied or at least partially modified as the current acquisition parameters; wherein the matching shooting protocol is a shooting protocol with the same photographed part and a difference with the body shape information within a threshold range, the threshold range including the relative angle and the relative distance, and based on the current acquisition parameters, an image of the subject is captured.

[0006] One of the embodiments of the present specification provides a system for medical image acquisition, including an acquisition module, a determination module and a shooting module, wherein: the acquisition module is used to acquire body shape information of a subject, and the body shape information of the subject includes body shape size data of a photographed part; the acquisition module is further used to: acquire two-dimensional image data of the subject through multiple 2D camera devices; perform three-dimensional reconstruction based on the two-dimensional image data to obtain three-dimensional contour data of the subject; and acquire the body shape size data of the photographed part of the subject based on the three-dimensional contour data of the subject; wherein the body shape size data of the photographed part includes a relative distance and a relative angle between the photographed part and a rack, and the relative distance and relative angle between the photographed part and the rack The relative angle is determined based on the three-dimensional contour data of the subject and the position of the 2D camera device relative to the frame; the determination module is used to determine whether there is a matching shooting protocol in the historical shooting protocols based at least on the body shape information of the subject: if so, at least a part of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters; if not, the default acquisition parameters or input acquisition parameters are applied or at least partially modified as the current acquisition parameters; wherein the matching shooting protocol is a shooting protocol with the same photographed part and a difference with the body shape information within a threshold range, the threshold range includes the relative angle and the relative distance, and the shooting module is used to capture the image of the subject based on the current acquisition parameters.

[0007] One of the embodiments of the present specification also provides a device for medical image acquisition, which includes at least one processor and at least one storage device, and the storage device is used to store instructions. When the at least one processor executes the instructions, the method described in any embodiment of the present specification is implemented.

[0008] One of the embodiments of the present specification further provides a computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method described in any of the embodiments of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0010] Figure 1 is a schematic diagram of an application scenario of a medical image acquisition system according to some embodiments of this specification;

[0011] Figure 2is an exemplary flow chart of a medical image acquisition method according to some embodiments of this specification;

[0012] Figure 3 is an exemplary flow chart of a medical image quality assessment method according to some embodiments of this specification;

[0013] Figure 4 It is an exemplary module diagram of a medical image acquisition system according to some embodiments of the present specification. DETAILED DESCRIPTION

[0014] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0015] It should be understood that the "system", "device" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0016] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0017] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0018] Figure 1 1 is a schematic diagram of an application scenario of a medical image acquisition system 100 according to some embodiments of the present specification. The medical image acquisition system 100 may include an imaging device 110, a network 120, at least one terminal 130, a processing device 140, and a storage device 150. The various components in the system 100 may be interconnected through the network 120. For example, the imaging device 110 and the at least one terminal 130 may be connected or communicated through the network 120.

[0019] The imaging device 110 may include a digital radiography (DR), a computer radiography (CR), a digital fluoroscopy (DF), a CT scanner, a magnetic resonance scanner, a mammography machine, etc. In some embodiments, the imaging device 110 may include a rack, a detector, a detection area, a scanning bed, and a radiation generating device (e.g., a radiation source). The rack may be used to support the detector and the radiation generating device. The scanning bed is used to place a subject for scanning. The subject may include a patient, a phantom, or other scanned object. The radiation generating device may emit X-rays to the subject. The detector may be used to receive X-rays. By scanning the subject, the imaging device 110 may obtain scanning data to generate (or reconstruct) an image.

[0020] The network 120 may include any suitable network capable of facilitating information and / or data exchange of the medical image acquisition system 100. In some embodiments, at least one component of the medical image acquisition system 100 (e.g., the imaging device 110, the processing device 140, the storage device 150, the at least one terminal 130) may exchange information and / or data with at least one other component of the medical image acquisition system 100 via the network 120. For example, the processing device 140 may obtain an image of a subject from the imaging device 110 via the network 120. The network 120 may include or include a public network (e.g., the Internet), a private network (e.g., a local area network (LAN)), a wired network, a wireless network (e.g., an 802.11 network, a Wi-Fi network), a frame relay network, a virtual private network (VPN), a satellite network, a telephone network, a router, a hub, a switch, a server computer, and / or any combination thereof. For example, the network 120 may include a wired network, a cable network, a fiber optic network, a telecommunication network, an intranet, a wireless local area network (WLAN), a metropolitan area network (MAN), a public switched telephone network (PSTN), a Bluetooth®, a wireless local area network (WLAN), a metropolitan area network (MAN), a public switched telephone network (PSTN), a wireless local area network (WLAN), a wireless local area network (WLAN), a wireless local area network (MAN ... TM Network, ZigBee TM In some embodiments, the network 120 may include at least one network access point. For example, the network 120 may include a wired and / or wireless network access point, such as a base station and / or an Internet exchange point, and at least one component of the medical image acquisition system 100 may be connected to the network 120 through the access point to exchange data and / or information.

[0021] At least one terminal 130 may communicate and / or connect with the imaging device 110, the processing device 140, and / or the storage device 150. For example, the operator may adjust the current acquisition parameters of the imaging device 110 through the at least one terminal 130. For another example, the operator may input a shooting protocol through the at least one terminal 130, and the processing device 140 may store it in the storage device 150. For another example, the acquisition parameters determined by the processing device 140 may be displayed on the terminal 130. In some embodiments, the at least one terminal 130 may include a mobile device 131, a tablet computer 132, a laptop computer 133, etc., or any combination thereof. For example, the mobile device 131 may include a mobile control handle, a personal digital assistant (PDA), a smart phone, etc., or any combination thereof.

[0022] In some embodiments, at least one terminal 130 may include an input device, an output device, etc. The input device may be a keyboard input, a touch screen (e.g., with tactile or haptic feedback) input, a voice input, an eye tracking input, a gesture tracking input, a brain monitoring system input, an image input, a video input, or any other similar input mechanism. The input information received by the input device may be transmitted to the processing device 140 via a bus, for example, for further processing. Other types of input devices may include a cursor control device, such as a mouse, a trackball, or cursor direction keys. In some embodiments, an operator (e.g., a technician or a doctor) may input a shooting protocol through an input device. The output device may include a display, a speaker, a printer, etc., or any combination thereof. The output device may be used to output acquisition parameters determined by the processing device 140, etc. In some embodiments, at least one terminal 130 may be part of the processing device 140.

[0023] The processing device 140 may process data and / or information obtained from the imaging device 110, the storage device 150, the at least one terminal 130, or other components of the medical image acquisition system 100. For example, the processing device 140 may obtain the body posture information of the subject from the imaging device 110. For another example, the processing device 140 retrieves a matching shooting protocol from the historical shooting protocol based on the body posture information of the subject, and determines the current acquisition parameters based on this. In some embodiments, the processing device 140 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processing device 140 may be local or remote. For example, the processing device 140 may access information and / or data from the imaging device 110, the storage device 150, and / or the at least one terminal 130 through the network 120. For another example, the processing device 140 may be directly connected to the imaging device 110, the at least one terminal 130, and / or the storage device 150 to access the information and / or data. In some embodiments, the processing device 140 may be implemented on a cloud platform. For example, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, cloud-to-cloud, multi-cloud, etc., or any combination thereof.

[0024] The storage device 150 may store data, instructions, and / or any other information. For example, historical shooting protocols, images of the person being photographed, and the like. In some embodiments, the storage device 150 may store data obtained from the imaging device 110, at least one terminal 130, and / or the processing device 140. In some embodiments, the storage device 150 may store data and / or instructions used by the processing device 140 to execute or use to complete the exemplary methods described in this specification. In some embodiments, the storage device 150 may include a mass storage device, a removable memory, a volatile read-write memory, a read-only memory (ROM), and the like, or any combination thereof. In some embodiments, the storage device 150 may be implemented on a cloud platform.

[0025] In some embodiments, the storage device 150 may be connected to the network 120 to communicate with at least one other component (e.g., the processing device 140, at least one terminal 130) in the medical image acquisition system 100. At least one component in the medical image acquisition system 100 may access data (e.g., historical shooting data) stored in the storage device 150 through the network 120. In some embodiments, the storage device 150 may be part of the processing device 140.

[0026] It should be noted that the above description is provided for illustrative purposes only and is not intended to limit the scope of this specification. For those of ordinary skill in the art, various changes and modifications may be made under the guidance of the contents of this specification. The features, structures, methods and other features of the exemplary embodiments described in this specification may be combined in various ways to obtain additional and / or alternative exemplary embodiments. For example, the storage device 150 may be a data storage device including a cloud computing platform, such as a public cloud, a private cloud, a community and a hybrid cloud. However, these changes and modifications will not deviate from the scope of this specification.

[0027] At present, when using the imaging device 110 for imaging shooting, the acquisition parameters of the imaging device 110 are usually default (for example, the acquisition parameters that come with the factory), and cannot be adjusted specifically according to the actual situation of the person being photographed. When the quality of the captured image cannot meet the diagnosis requirements, the technician can manually adjust the acquisition parameters based on experience, and for each imaging shot, it is necessary to manually determine the quality of the captured image, thereby wasting the time and energy of the operator (such as the technician or doctor) and the person being photographed, and reducing the shooting efficiency.

[0028] Therefore, the embodiments of this specification provide a medical image acquisition method, which can obtain the body posture information of the person being photographed, and then automatically match the current acquisition parameters from the historical shooting protocol to shoot and automatically evaluate the quality of the captured image, so as to realize automatic control of the image acquisition quality. This not only avoids the problem of low shooting efficiency caused by using the system default acquisition parameters and the operator manually adjusting the acquisition parameters, but also ensures that the quality of the captured image meets the diagnosis requirements.

[0029] Figure 2 It is an exemplary flow chart of the method of medical image acquisition according to some embodiments of the present specification. Specifically, the medical image acquisition method 200 of the imaging device 110 can be executed by the processing device 140. For example, the medical image acquisition method 200 of the imaging device 110 can be stored in a storage device (such as the storage device 150) in the form of a program or instruction. When the medical image acquisition system 100 of the imaging device 110 (such as the processing device 140) executes the program or instruction, the medical image acquisition method 200 of the imaging device 110 can be implemented.

[0030] Step 210: Acquire body information of the person being photographed.

[0031] In step 210 , the processing device 140 may acquire body posture information of the subject. Specifically, step 210 may be executed by the acquisition module 410 in the processing device 140 .

[0032] In some embodiments, the photographed person may include an object photographed for a certain part (such as the head, chest), for example, a patient, a physical examinee, etc. The body information of the photographed person may be data reflecting the body shape of the photographed person. In some embodiments, the body information of the photographed person may include body size data of the photographed part, the body size data of the photographed part may be a specific size reflecting the shape of the photographed part, and the body size data of the photographed part may include the relative position of the photographed part and the rack and at least one of the thickness, width and height of the photographed part. The relative position of the photographed part and the rack may be the distance and angle of the photographed part relative to the rack (the rack of the imaging device 110). The photographed part may be understood as the part of the photographed person that needs to be scanned and photographed, and the photographed part may be the body part corresponding to the lesion part. For example, when performing a chest X-ray scan, the chest is the photographed part. It can be understood that the photographed part is generally a body part determined by a doctor before shooting. In some embodiments, the body information of the photographed person may include the height of the photographed person.

[0033] In some embodiments, the thickness of the photographed part can be understood as the distance that the ray (e.g., X-ray) emitted by the ray source penetrates the photographed part. For example, when performing a chest X-ray scan, the X-ray needs to penetrate the chest, and the thickness of the photographed part can be the thickness of the human body shape corresponding to the chest (i.e., the distance that the ray penetrates the human body). The thickness of the photographed part can affect the intensity of the ray emitted by the ray source. The width of the photographed part can be understood as the horizontal distance from left to right of the photographed part when the photographer is standing, and the height of the photographed part can be understood as the distance from top to bottom of the photographed part in the vertical direction when the photographer is standing. In some embodiments, the width and height of the photographed part can affect the projection area of ​​the ray beam. For example, the larger the area enclosed by the width and height of the photographed part (i.e., the cross-sectional area of ​​the photographed part perpendicular to the ray direction), the larger the area required for irradiation, and the larger the projection area of ​​the ray beam.

[0034] In some embodiments, the body information of the photographed person can be obtained by collecting the three-dimensional contour data of the photographed person. Specifically, the three-dimensional contour data of the photographed person can be collected, and then the body size data of the photographed part of the photographed person can be obtained based on the three-dimensional contour data of the photographed person. The three-dimensional contour data can be data reflecting the body shape contour of the photographed person. The body size data of the photographed part includes one or more of the relative position of the photographed part and the rack and the thickness, width and height of the photographed part. In some embodiments, the processing device 140 can obtain the three-dimensional contour data of the photographed person through a camera device. In some embodiments, the processing device 140 can directly obtain the three-dimensional contour data of the photographed person through a 3D camera device. Specifically, the 3D camera device can accurately detect the distance of each point in the image from the camera, thereby obtaining the three-dimensional space coordinates of each point in the image, and then modeling the three-dimensional space coordinates to obtain the three-dimensional contour data (i.e., a three-dimensional model) of the photographed person. In other alternative embodiments, the processing device 140 can also obtain the two-dimensional image data of the photographed person through a number of 2D camera devices, and then perform three-dimensional reconstruction based on the two-dimensional image data to obtain the three-dimensional contour data of the photographed person. In some embodiments, the processing device 140 can calculate the body size data of the photographed part based on the three-dimensional contour data. Specifically, after the processing device 140 obtains the three-dimensional contour data of the photographed person, the body size data of the photographed person can be calculated according to the three-dimensional contour data, for example, including the height, thickness and other information of the photographed person. The three-dimensional contour data of the photographed person obtained by the 3D camera device or the 2D camera device may include the relative distance and relative angle between each point in the three-dimensional contour data of the photographed person and the 3D camera device or the 2D camera device. Since the position (distance and angle) of the 3D camera device or the 2D camera device relative to the rack is also determined, the relative position of the photographed part and the rack can be obtained by processing the above data. In some embodiments, if the three-dimensional contour data includes the external dimension data of the three-dimensional contour, the processing device 140 can directly use the external dimension data of the three-dimensional contour corresponding to the photographed part as the body size data of the photographed part.

[0035] Step 220: Determine whether there is a matching shooting protocol in the historical shooting protocols based at least on the body posture information of the person being shot.

[0036] In step 220, the processing device 140 can determine whether there is a matching shooting protocol in the historical shooting protocols based at least on the body posture information of the subject: if there is, at least a part of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters; if there is not, the default acquisition parameters or input acquisition parameters are applied or at least partially modified as the current acquisition parameters. Specifically, step 220 can be performed by the determination module 420 in the processing device 140.

[0037] The historical shooting protocol may be one or more shooting protocols stored in the storage device 150. Considering the validity of the stored data, the historical image quality corresponding to the historical shooting protocol is generally recognized by the operator, so the historical shooting protocol is stored accordingly. In some embodiments, the historical shooting protocol may include the body posture information of the historically photographed part and one or more of the following information: the photographed part, the algorithm parameters of the image processing, the positioning parameters, and the radiation source parameters. Among them, the radiation source parameters may include parameters such as the tube high voltage and / or the tube current and / or the current time product and / or the radiation dose and / or the projection area of ​​the radiation beam. The body posture information of the historically photographed part may include the body posture size data of the historically photographed part and the historically photographed part. The body posture information of the historically photographed part is similar to the body posture information of the photographed part, and can refer to the description of step 210, which will not be repeated here. The positioning parameters may be the positions of various devices inside the imaging device 110, for example, reflecting the height and / or irradiation angle and / or irradiation direction of the radiation source relative to the shooting device. For example, the radiation source is located directly above the part to be photographed, irradiating the subject from top to bottom, or the radiation source is located in front of the side of the part to be photographed, irradiating the subject obliquely. The radiation dose can be the incident dose of the radiation irradiating the part to be photographed, and the strength of the incident dose can depend on the thickness of the part to be photographed. The projection area of ​​the radiation beam can be the radiation area of ​​the cross section perpendicular to the radiation incident direction, and the projection area of ​​the radiation beam can depend on the width and height of the part to be photographed. The algorithm parameters of image processing can be understood as the parameters used by the imaging device 110 when imaging (or reconstructing) according to the data acquired by the detector. Imaging or reconstruction is performed according to the algorithm parameters of image processing, and the data acquired by the detector can be displayed in the form of images to facilitate the doctor's diagnosis.

[0038] The matching shooting protocol may refer to a shooting protocol with the same shooting part and relatively similar posture information (such as the height of the person being shot, the body size data of the shooting part, etc.). In some embodiments, the matching shooting protocol may be a shooting protocol with the same shooting part and the difference with the posture information within the threshold range. Optionally, since the posture information may include the relative position of the shooting part and the rack and at least one of the thickness, width and height of the shooting part, the threshold range may include the relative angle, relative distance of the shooting part and the rack, and the thickness difference, width difference and height difference of the shooting part. Since the posture information may also include the height of the person being shot, the threshold range may include the relative angle, relative distance of the shooting part and the rack, and the height difference of the shooting part, the thickness difference, width difference and height difference of the shooting part. For example, the threshold range may include a thickness difference of 3cm, a width difference of 2cm and a height difference of 2cm, and the threshold range may also be other values, which are not listed one by one in this application. In some embodiments, the processing device 140 may retrieve historical shooting protocols to determine whether there is a matching shooting protocol based at least on the posture information of the person being shot. In some embodiments, the historical shooting protocols may be stored in the storage device 150, and the processing device 140 may retrieve the historical shooting protocols from the storage device 150. If there is a shooting protocol in the historical shooting protocol that is the same as the shooting part and the difference with the body shape information is within a threshold range, it is determined that there is a matching shooting protocol in the historical shooting protocol; otherwise, it is determined that there is no matching shooting protocol in the historical shooting protocol. Specifically, after the processing device 140 obtains the body shape information of the subject (such as the shooting part and body shape size data), it can search one or more stored historical shooting protocols based on the search keyword (such as chest or chest X-ray), and select several historical shooting protocols as candidate shooting protocols. The candidate shooting protocol can be a historical shooting protocol that matches the search keyword. Further, the processing device 140 can compare the body shape information of the historical subjects in the candidate shooting protocol with the body shape information of the current subject, and use the candidate shooting protocol whose comparison result is within the threshold range as the current shooting protocol. In some embodiments, the search keyword may be one or more parameters included in the shooting protocol, for example, the search keyword may be the subject's position information (for example, standing shooting, side-lying shooting, supine shooting, etc.) and the photographed part (for example, head, chest, etc.) in the shooting protocol. In some embodiments, when comparing the historical posture information with the current posture information, the comparison may be made from multiple aspects, for example, the height of the subject may be compared, and the thickness, width, and height of the photographed part may also be compared.When the comparison result is greater than the threshold range, the processing device 140 may determine that there is no matching candidate shooting protocol. For example, the thickness of the photographed part (such as the chest) is 30 cm, and the thickness of the photographed part (such as the chest) in the candidate shooting protocol is 40 cm or 20 cm, and the difference between the two is greater than the threshold range (for example, 3 cm, 5 cm, 7 cm, etc.), the processing device 140 determines that there is no match. When the comparison result is less than or equal to the threshold range, the processing device 140 may determine that there is a matching candidate shooting protocol. For example, the thickness of the photographed part (such as the chest) is 30 cm, and the thickness of the photographed part (such as the chest) in the candidate shooting protocol is 35 cm or 25 cm, and the difference between the two is within the threshold range (for example, 5 cm, 7 cm, etc.), the processing device 140 determines that there is a match.

[0039] In some embodiments, it is also possible to determine whether there is a matching shooting protocol in the historical shooting protocols based on the name, age, gender and the part being shot of the person being shot. It is understandable that the person being shot has already taken a corresponding shot for the part being shot some time ago, and during this shooting, the acquisition parameters in the previous historical shooting protocol can be directly applied as the current acquisition parameters for shooting.

[0040] If it is determined that there is a matching shooting protocol in the historical shooting protocol, step 222 is executed: at least a portion of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters. In some embodiments, the acquisition parameters in the matching shooting protocol may include acquisition parameters of the same category as those in the historical shooting protocol, for example, body posture information of the photographed part and the photographed part. In some embodiments, the historical shooting protocol may also include acquisition parameters of a different category from the acquisition parameters in the matching shooting protocol, for example, the age and gender of the person being photographed. Therefore, at least a portion of the acquisition parameters in the matching shooting protocol, for example, acquisition parameters related to the imaging parameters of the imaging device 110, may be used as the current acquisition parameters.

[0041] If it is determined that there is no matching shooting protocol in the historical shooting protocol, step 224 is performed: apply or at least partially modify the default acquisition parameters or input the acquisition parameters as the current acquisition parameters. In some embodiments, the default acquisition parameters may include acquisition parameters of the same category as those in the historical shooting protocol, for example, the posture information of the photographed part and the photographed part, the algorithm parameters of the image processing, the positioning parameters, the radiation dose, and the projection area of ​​the radiation beam. The default acquisition parameters may be the acquisition parameters defaulted by the system. For example, it may be the factory parameters of the imaging device, or it may be some general parameters pre-set by an experienced operator (such as a technician or a doctor). When shooting with the imaging device 110, the default acquisition parameters may be used directly, or the operator may modify the default acquisition parameters partially or completely according to experience to shoot as the current acquisition parameters. In other embodiments, if it is determined that there is no matching shooting protocol in the historical shooting protocol, no acquisition parameters may be automatically provided, and the operator may input the corresponding acquisition parameters according to experience to shoot.

[0042] Step 230: capturing an image of the subject based on the current acquisition parameters.

[0043] In step 230 , the processing device 140 may capture an image of the subject based on the current acquisition parameters. Specifically, step 230 may be executed by the capturing module 430 in the processing device 140 .

[0044] In some embodiments, the image may include a medical image of the photographed part, such as a chest X-ray, a breast image, a lung image, etc.

[0045] In some embodiments, the processing device 140 may replace the acquisition parameters of the imaging device 110 with the determined current acquisition parameters, and further shoot to obtain an image. Specifically, when it is determined that there is a matching shooting protocol in the historical shooting protocol, the processing device 140 may directly use the acquisition parameters of the matching shooting protocol (e.g., positioning parameters and / or ray source parameters and / or ray beam projection area and / or imaging processing algorithm parameters, etc.) as the acquisition parameters of the current shooting, that is, the acquisition parameters of the imaging device 110 are set to the acquisition parameters of the matching historical shooting protocol. Optionally, when replacing, it can also be semi-automatic, that is, some parameters of the protocol are from the historical protocol parameters, which can be suggested to the physician, and the physician can choose to use the part of the historical protocol parameters while choosing to use the system default parameters for other parameters. When it is determined that there is no matching shooting protocol in the historical shooting protocol, the processing device 140 can apply the default acquisition parameters to the current shooting, that is, the acquisition parameters in the imaging device 110 are set to the default acquisition parameters. The default acquisition parameters may be the acquisition parameters that come with the imaging device 110 when it leaves the factory, or some general parameters that are preset by an experienced operator (eg, a technician or a doctor).

[0046] It should be noted that the above description of process 200 is only for example and illustration, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to process 200 under the guidance of the present application. However, these modifications and changes are still within the scope of the present application. For example, the threshold range is not limited to the numerical values ​​listed in process 200, and can also be other values, which are not listed one by one here.

[0047] Figure 3 is an exemplary flow chart of a medical image quality assessment method according to some embodiments of the present specification. Specifically, the medical image quality assessment method 300 can be executed by the processing device 140. For example, the medical image quality assessment method 300 can be stored in a storage device (such as the storage device 150) in the form of a program or instruction. When the medical image acquisition system 100 (such as the processing device 140) of the imaging device 110 executes the program or instruction, the medical image quality assessment method 300 of the imaging device 110 can be implemented.

[0048] Step 310: perform quality assessment on the image.

[0049] In step 310, the processing device 140 may perform quality assessment on the image captured in step 230. Specifically, step 310 may be performed by the assessment module 440 in the processing device 140.

[0050] The quality of an image may refer to the degree of difference between a captured image and a reference image, and the smaller the difference, the higher the image quality. The reference image may refer to an image in which an operator can clearly observe the captured part.

[0051] In some embodiments, the processing device 140 may evaluate the image quality. Specifically, several indicators related to the image quality may be determined, and it may be determined whether the several indicators meet the preset requirements to determine whether the image quality evaluation result meets the preset conditions. In some embodiments, the several indicators related to the image quality may include image contrast, window width, window position, whether there are foreign objects in the image, and / or whether the photographed part of the subject in the image is located in the photographing area.

[0052] In some embodiments, the contrast may reflect the degree of difference between the light and dark areas in the image, and the processing device 140 may determine the contrast by obtaining the grayscale value of the image. In some embodiments, the window width of the image may refer to the display range of the pixel value of the image. The pixel values ​​of the images obtained from different photographed parts may have the same window width, but the pixel value window position may be different. In some embodiments, whether there is a foreign object in the image can be detected in the image. For example, the foreign object may include metal jewelry, belts, etc. Since the transmittance of the foreign object to the radiation is different from that of the photographed person, the foreign object in the image is generally an object with a large grayscale difference from the tissue or bone and a specific shape. In some embodiments, whether the photographed part is located in the shooting area can be determined by detecting whether the photographed part in the image is in a better viewing position (for example, in the middle of the image). The shooting area can be an area where the radiation can irradiate the photographed part, for example, the corresponding position of the scanning bed. When the photographed part of the photographed person is located in the middle of the shooting area, the photographed part is located in the center of the image, which is more convenient for the operator to observe.

[0053] In some embodiments, when the contrast, window width and / or window level of the image meet the preset threshold conditions, and there is no foreign matter in the image and the photographed part is located in the photographing area, it is determined that the quality assessment result meets the preset conditions. For contrast, the preset threshold conditions may include a contrast range of 50:1 to 300:1, 100:1 to 400:1 or 100:1 to 500:1, etc. For example, when the contrast is 100:1, within the contrast range of 50:1 to 300:1, the contrast meets the preset threshold conditions. For window width, the preset threshold conditions may include a window width of 50, 100 or 200 pixel value variation range, for example, when the window width is 100, the window width meets the preset threshold conditions. For the window level, the preset threshold condition may include a pixel value range of 0 to 100, 100 to 200 or 200 to 300 for the window level. For example, when the window level is 150 and the preset threshold range is in the pixel value range of 100 to 200, the window level satisfies the preset threshold condition. The preset condition may be a preset benchmark for evaluating image quality, and is not a fixed condition. Specifically, when at least one of the image contrast, window width or window level satisfies the preset threshold condition, and there is no foreign matter in the image and the photographed part is located in the photographing area, it can be considered that the image quality meets the requirements, that is, the quality assessment result meets the preset condition. Conversely, for example, when at least one of the image contrast, window width or window level satisfies the preset threshold condition, but there is a foreign matter in the image or the photographed part is not located in the photographing area, it is considered that the image quality does not meet the requirements, that is, the quality assessment result meets the preset condition.

[0054] Step 320: If the quality evaluation result meets the preset conditions, the current acquisition parameters and body posture information are stored as at least a part of a historical shooting protocol.

[0055] In step 320 , the processing device 140 may store the current acquisition parameters and body posture information as at least a part of a historical shooting protocol when the quality evaluation result meets the preset condition. Specifically, step 320 may be performed by the recording module 450 in the processing device 140 .

[0056] In some embodiments, the processing device 140 may perform corresponding subsequent operations based on the quality assessment result. In some embodiments, if the quality assessment result meets the preset conditions, the processing device 140 may also store the current acquisition parameters and posture information, and the acquisition parameters and posture information may be used as at least a part of a historical shooting protocol. In some embodiments, storing the current acquisition parameters and posture information as at least a part of a historical shooting protocol may be understood as the stored historical shooting protocol may also include other information besides acquisition parameters and posture information, such as operator information, personal information of the photographed person, information of the photographed part, and positioning information of the photographed person. If the quality assessment result meets the preset conditions, it means that the image quality captured by the adopted acquisition parameters (e.g., algorithm parameters of image processing, positioning parameters, radiation dose, and projection area of ​​the radiation beam, etc.) meets the requirements and can be used to diagnose the health status of the photographed part, further indicating that the acquisition parameters adopted in this shooting match the body information (e.g., body size data, etc.) of the photographed person, and the quality of the captured image meets the requirements. The processing device 140 stores the relevant acquisition parameters (for example, the incident intensity of the rays) and the body information (for example, the chest thickness is 25 cm) as at least a part of a historical shooting protocol, which is equivalent to binding the body information with the acquisition parameters. When shooting subsequently, it is only necessary to determine the corresponding acquisition parameters according to the body information of the person being photographed. This can avoid the situation where the system default parameters are inaccurate, and also reduces the time and energy spent by the operator in determining the acquisition parameters, thereby improving the shooting efficiency while ensuring the image quality.

[0057] In some embodiments, if the quality assessment result meets the preset conditions, the processing device 140 can also save the currently captured image. Specifically, when the quality assessment result meets the preset conditions, the processing device 140 can save the currently captured image as the final result of this shooting and output it to the operator for diagnosis.

[0058] In other embodiments, if the quality assessment result does not meet the preset conditions, the operator is reminded to remove the foreign matter and / or adjust the position of the photographed part, and the current acquisition parameters are re-determined to capture the image of the person being photographed. Specifically, when the quality assessment result does not meet the preset conditions (for example, the photographed part is not located in the shooting area, an object with high brightness and specific shape appears in the image, etc.), the processing device 140 can remind the operator to adjust and re-determine the current acquisition parameters to capture the image of the person being photographed. For example, when an object with high brightness and specific shape appears in the image, the operator can be notified that the person being photographed carries a foreign matter and needs to remove the foreign matter and re-shoot. For another example, when the photographed part is not located in the shooting area, the operator can be notified of the distance between the photographed part and the center of the shooting area. At this time, the operator can ask the person being photographed to move to the corresponding position (for example, move to the left, move to the right, etc.) and re-shoot. In some embodiments, the acquisition parameters used for re-shooting need to be re-determined, and the re-determined acquisition parameters can be the same as the acquisition parameters used for the last shooting, or they can be different. Specifically, since the acquisition parameters determined in step 220 are acquisition parameters corresponding to historical images that have been shot and passed quality assessment, the body shape information of the historical subjects is consistent with the body shape information of the current subject, and therefore the re-determined acquisition parameters may be the same as the acquisition parameters used in the last shooting. In some embodiments, the operator can also manually adjust the acquisition parameters. For example, when the operator finds that there are acquisition parameters that are more suitable for the body shape information of the subject based on past experience, or finds that the photographed part is wrong during the shooting process, the acquisition parameters can be adjusted to obtain a higher quality image. At this time, the acquisition parameters are different from the acquisition parameters used in the last shooting.

[0059] It should be noted that the above description of process 300 is only for example and illustration, and does not limit the scope of application of the present application. For those skilled in the art, various modifications and changes can be made to process 300 under the guidance of the present application. However, these modifications and changes are still within the scope of the present application. For example, the preset threshold condition is not limited to the numerical values ​​listed in process 300, and can also be other values, which are not listed one by one here.

[0060] Figure 4 is an exemplary module diagram of a medical image acquisition system according to some embodiments of this specification. Figure 4 As shown, the medical image acquisition system 400 may include an acquisition module 410 , a determination module 420 , a shooting module 430 , an evaluation module 440 and a recording module 450 .

[0061] The acquisition module 410 can be used to acquire the body shape information of the subject. In some embodiments, the body shape information of the subject may include the body shape size data of the photographed part. In some embodiments, the acquisition module 410 may also collect the three-dimensional contour data of the subject; and based on the three-dimensional contour data of the subject, acquire the body shape size data of the photographed part of the subject; wherein the body shape size data of the photographed part includes the relative position of the photographed part and the frame and at least one of the thickness, width and height of the photographed part. For more information about acquiring the body shape information of the subject, please refer to the description of step 210, which will not be repeated here.

[0062] The determination module 420 can be used to determine whether there is a matching shooting protocol in the historical shooting protocol based at least on the body shape information of the person being photographed: if there is, at least a part of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters; if not, the default acquisition parameters or input acquisition parameters are applied or at least partially modified as the current acquisition parameters. In some embodiments, the determination module 420 can also be used to determine whether there is a matching shooting protocol in the historical shooting protocol if there is a shooting protocol in the historical shooting protocol that is the same as the shooting part and the difference with the body shape information is within a threshold range; otherwise, it is determined that there is no matching shooting protocol in the historical shooting protocol. For more information on determining whether there is a matching shooting protocol in the historical shooting protocol, please refer to the description of step 220, which will not be repeated here.

[0063] The shooting module 430 can be used to shoot the image of the subject based on the current acquisition parameters. For more information about shooting the image of the subject, please refer to the description of step 230, which will not be repeated here.

[0064] The evaluation module 440 can be used to perform quality evaluation on the image. In some embodiments, the evaluation module 440 can also be used to determine that the quality evaluation result meets the preset conditions when the contrast, window width and / or window level of the image meet the preset threshold conditions, there is no foreign matter in the image, and the photographed part is located in the photographing area. For more information about performing quality evaluation on the image, please refer to the description of step 310, which will not be repeated here.

[0065] The recording module 450 can be used to store the current acquisition parameters and posture information as at least a part of a historical shooting protocol when the quality assessment result meets the preset conditions. In some embodiments, the recording module 450 can also be used to save the image when the quality assessment result meets the preset conditions; when the quality assessment result does not meet the preset conditions, the operator is reminded to remove foreign matter and / or adjust the position of the photographed part, and re-determine the current acquisition parameters to capture the image of the person being photographed. For more information about storing the current acquisition parameters and posture information, please refer to the description of step 320, which will not be repeated here.

[0066] It should be noted that the above description of the medical image acquisition system and its devices / modules is only for the convenience of description and does not limit this specification to the scope of the embodiments. It is understandable that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine the various devices / modules, or form a subsystem to connect with other devices / modules without deviating from this principle. For example, Figure 4 The acquisition module 410, determination module 420, shooting module 430, evaluation module 440, and recording module 450 disclosed in the specification may be different modules in a device (such as processing device 140), or a module that implements the functions of two or more of the above modules. For example, the evaluation module 440 and the recording module 450 may be two modules, or a module that has the functions of receiving signals and processing information at the same time. For another example, each device may have its own storage module. For another example, each device may share a storage module. Such variations are within the scope of protection of this specification.

[0067] The beneficial effects that may be brought about by the embodiments of this specification include but are not limited to: (1) obtaining the body information of the person being photographed through a camera device, and automatically selecting a shooting protocol that matches the person being photographed from historical shooting protocols based on the body information, and then using the acquisition parameters in the matching shooting protocol to shoot images, which not only improves the efficiency of image shooting, but also reduces the time and energy of the operator; (2) by performing quality assessment on the captured images to ensure that the quality of the image can be used for health diagnosis, and storing the images and shooting protocols that have passed the quality assessment, the diversity of data in the database is improved. It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other possible beneficial effects.

[0068] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other possible beneficial effects.

[0069] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, 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, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0070] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0071] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0072] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0073] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate 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 change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0074] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.

[0075] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A method for medical image acquisition, It is characterized in that include: Acquire body information of the subject, wherein the body information of the subject includes body size data of the photographed part; It further includes: Acquiring two-dimensional image data of the subject through a plurality of 2D camera devices; Performing three-dimensional reconstruction based on the two-dimensional image data to obtain three-dimensional contour data of the photographed person; Based on the three-dimensional contour data of the photographed person, the body size data of the photographed part of the photographed person is acquired; wherein the body size data of the photographed part includes a relative distance and a relative angle between the photographed part and a frame, and the relative distance and the relative angle between the photographed part and the frame are determined based on the three-dimensional contour data of the photographed person and the position of the 2D camera device relative to the frame; At least based on the body shape information of the photographed person, determine whether there is a matching photographing protocol in the historical photographing protocols: if there is, use at least a part of the acquisition parameters in the matching photographing protocol as the current acquisition parameters; if not, apply or at least partially modify the default acquisition parameters or input acquisition parameters as the current acquisition parameters; wherein the matching photographing protocol is a photographing protocol with the same photographed part and a difference with the body shape information within a threshold range, wherein the threshold range includes the relative angle and the relative distance, and Based on the current acquisition parameters, an image of the subject is captured.

2. The method according to claim 1, It is characterized in that Also includes: performing quality assessment on the image; If the quality assessment result meets the preset conditions, the current acquisition parameters and the body posture information are stored as at least a part of a historical shooting protocol.

3. The method according to claim 1, It is characterized in that The body size data of the photographed part includes at least one of the thickness, width and height of the photographed part.

4. The method according to claim 1, It is characterized in that The historical shooting protocol includes the body posture information of the historically shot parts and one or more of the following information: The imaged part, image processing algorithm parameters, positioning parameters, radiation dose, and projection area of ​​the radiation beam.

5. The method according to claim 2, It is characterized in that The quality assessment of the image includes determining a combination of one or more of the following indicators of the image: contrast, window width, window position, whether there are foreign objects in the image, and / or whether the photographed part of the subject in the image is located in the photographing area.

6. The method according to claim 5, It is characterized in that When the contrast, window width and / or window level of the image meet the preset threshold conditions, and there is no foreign matter in the image and the photographed part is located in the photographing area, it is determined that the quality assessment result meets the preset conditions.

7. The method according to claim 2, It is characterized in that Also includes: If the quality assessment result meets the preset conditions, saving the image; If the quality assessment result does not meet the preset conditions, the operator is reminded to remove the foreign matter and / or adjust the positioning of the photographed part, and re-determine the current acquisition parameters to capture the image of the photographed person.

8. A system for medical image acquisition, It is characterized in that It includes an acquisition module, a determination module and a shooting module, wherein: The acquisition module is used to acquire the body information of the photographed person, and the body information of the photographed person includes body size data of the photographed part; the acquisition module is further used to: Acquiring two-dimensional image data of the subject through a plurality of 2D camera devices; Performing three-dimensional reconstruction based on the two-dimensional image data to obtain three-dimensional contour data of the photographed person; Based on the three-dimensional contour data of the photographed person, the body size data of the photographed part of the photographed person is acquired; wherein the body size data of the photographed part includes a relative distance and a relative angle between the photographed part and a frame, and the relative distance and the relative angle between the photographed part and the frame are determined based on the three-dimensional contour data of the photographed person and the position of the 2D camera device relative to the frame; The determination module is used to determine whether there is a matching shooting protocol in the historical shooting protocols based at least on the body posture information of the photographed person: if there is, at least a part of the acquisition parameters in the matching shooting protocol is used as the current acquisition parameters; if not, the default acquisition parameters or the input acquisition parameters are applied or at least partially modified as the current acquisition parameters; wherein the matching shooting protocol is a shooting protocol with the same photographed part and a difference with the body posture information within a threshold range, and the threshold range includes the relative angle and the relative distance, as well The shooting module is used to shoot the image of the subject based on the current acquisition parameters.

9. A device for collecting medical images, It is characterized in that The apparatus comprises at least one processor and at least one storage device, wherein the storage device is used to store instructions. When the at least one processor executes the instructions, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method according to any one of claims 1 to 7.

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