Radiographic image processing apparatus, radiographic image complementation method, and radiographic image complementation program

Abstract

To provide a frame image necessary for accurate diagnosis without re-photographing.SOLUTION: A radiographic image processing apparatus includes: an acquisition unit for acquiring a radiation dynamic image including a plurality of frame images showing the movement of a skeleton of a subject; an extraction unit for extracting, from the plurality of frame images, a plurality of successive frame images within a time frame including a timing corresponding to an extraction condition, the extraction condition being that the skeleton is in a specific arrangement state; and a generation unit for generating an additional frame image corresponding to the timing according to the extraction condition from the plurality of extracted successive frame images.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present invention relates to a radiographic image processing apparatus, a radiographic image completion method, and a radiographic image completion program. [Background technology]

[0002] Dynamic radiography devices are known that irradiate a target area of ​​a patient with radiation and capture dynamic images consisting of multiple frame images. In the field of orthopedics, dynamic radiography devices are used, for example, to capture images of the position of the skeleton while a joint is moving. Doctors can diagnose the condition of the joint by checking the dynamic images captured by the dynamic radiography device.

[0003] For example, in the device disclosed in Patent Document 1, a reference frame image is determined from a dynamic image consisting of multiple frame images. Then, the skeletal arrangement state is identified in the reference frame image, and the skeletal arrangement state is identified in other frame images based on the reference frame image. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2021-045367 Summary of the Invention [Problem to be solved by the invention]

[0005] Incidentally, in order to more accurately diagnose the condition of a joint in dynamic images, it is important to extract not only the above-mentioned reference frame image, but also frame images when, for example, impingement (collision with other bones or muscles near a joint when moving the joint) occurs.

[0006] However, the moment when impingement or the like occurs is not necessarily a timing when the movement is relatively slow or stopped, such as when the joint is at maximum flexion. For example, the moment when impingement or the like occurs may be a timing when the joint is in the middle of moving. In this case, the timing of capturing frame images captured at a predetermined frame rate does not match the timing of the occurrence of impingement. Therefore, there is a possibility that key frame images necessary for an accurate diagnosis may not have been captured, and recapture may be necessary.

[0007] An object of the present invention is to provide a radiographic image processing apparatus, a radiographic image complementing method, and a radiographic image complementing program that can provide frame images necessary for accurate diagnosis without re-imaging. [Means for solving the problem]

[0008] The radiation image processing device according to the present invention comprises: an acquisition unit for acquiring a radiological dynamic image including a plurality of frame images showing the skeletal movement of the subject; an extraction unit that extracts, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; a generating unit that generates an additional frame image corresponding to the timing from the extracted plurality of consecutive frame images; Equipped with.

[0009] The radiographic image completion method according to the present invention comprises: In a radiation image processing device, acquiring a radiological dynamic image including a plurality of frame images showing skeletal movement of the subject; extracting, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; From the extracted plurality of consecutive frame images, an additional frame image corresponding to the timing is generated.

[0010] The radiological image complementation program according to the present invention comprises: The computer of the radiation image processing device acquiring a radiological dynamic image including a plurality of frame images showing skeletal movement of the subject; a process of extracting, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; generating an additional frame image corresponding to the timing from the extracted plurality of consecutive frame images; Execute the following. [Effects of the Invention]

[0011] According to the present invention, it is possible to provide frame images necessary for accurate diagnosis without re-imaging. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is an explanatory diagram showing an example of the configuration of a radiation image processing system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram illustrating an example of the functional configuration of an imaging control unit in a radiation image imaging device that constitutes the radiation image processing system. [Figure 3] FIG. 3 is a block diagram illustrating an example of the functional configuration of a radiation imaging control device that constitutes a radiation image processing system and also serves as a radiation image processing device. [Figure 4] FIG. 4 is a block diagram illustrating an example of the functional configuration of a radiation image analysis device that constitutes a radiation image processing system. [Figure 5] FIG. 5 is a flowchart illustrating a radiographic image complementing method executed by the radiography control device. [Figure 6] FIG. 6 is a diagram illustrating examples of the motions, extraction conditions, recognition and measurement targets, and key images for each target part. [Figure 7]FIG. 7 is a diagram showing an example of a frame image in a state of maximum forward bending in forward and backward bending of the cervical spine. [Figure 8] FIG. 8 is a diagram showing an example of a frame image in a state of end bending in an anterior-posterior bending movement of the cervical spine. [Figure 9] FIG. 9 is a schematic diagram showing an example of a frame image in a normal state during ulnar flexion and flexion movements of the wrist joint. [Figure 10] FIG. 10 is a schematic diagram showing an example of a frame image in a state of dynamic ulnar thrust syndrome during ulnar flexion and flexion movements of the wrist joint. [Figure 11] FIG. 11 is a diagram showing an example of a frame image showing the positioning state of the humeral head relative to the glenoid cavity of the scapula during an abduction and elevation movement of the shoulder joint. [Figure 12] FIG. 12 is a diagram showing an example of a frame image showing the position of the greater tuberosity during internal and external rotation of the shoulder joint. [Figure 13] FIG. 13 is a diagram showing an example of a frame image showing the arrangement of the femoral head and the hip joint acetabulum during the abduction of the thigh. [Figure 14] FIG. 14 is a diagram showing an example of a frame image showing the state of the knee joint during load-bearing motion of the knee joint. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0014] <Configuration of Radiation Image Processing System> 1 is a diagram illustrating a radiological image processing system 1 according to the present embodiment. The radiological image processing system 1 includes a radiological image capturing device 10, a radiological image capturing control device (console device) 20, a radiological image analyzing device 30, an image management device 40, and a client terminal 50.

[0015] 1, the radiographic imaging device 10 is placed in an imaging room, and the radiographic imaging control device 20 is placed in an operation room. The radiographic imaging device 10, the radiographic imaging control device 20, the radiographic image analysis device 30, the image management device 40, and the client terminal 50 are connected to each other via a communication network N. As the communication network N, for example, a communication network conforming to the DICOM (Digital Image and Communications in Medicine) standard or the like is used.

[0016] Also connected to the communication network N is a radiation information terminal 60 serving as a radiation information system that transmits information relating to radiation examinations, such as examination order information for patients, to the radiation image processing system 1. The radiation information terminal 60 is, for example, a Radiology Information System (RIS).

[0017] The radiographic imaging device 10 performs radiographic dynamic imaging (hereinafter referred to as dynamic imaging), which is the capturing of dynamic images of radiographic images, under the control of the radiographic imaging control device 20. The radiographic imaging control device 20 controls the radiographic imaging device 10 based on examination order information, etc. transmitted from the radiographic information terminal 60. The dynamic images generated by the radiographic imaging device 10 are processed by the radiographic imaging control device 20, which also serves as the radiographic image processing device of the present invention, as described below, and transmitted to the radiographic image analysis device 30. The radiographic image analysis device 30 performs dynamic analysis on the dynamic images. The dynamic images and the results of the dynamic analysis are transmitted to and managed by an image management device 40, which serves as a medical image management system. An example of the image management device 40 is a PACS (Picture Archiving and Communication System). The dynamic images and the results of the dynamic analysis are transmitted to a client terminal 50, where they are viewed by medical professionals such as doctors.

[0018] In this embodiment, dynamic imaging refers to repeatedly irradiating a subject with pulsed radiation (e.g., X-rays) at a predetermined frame rate (pulse irradiation) to obtain multiple frame images. Dynamic images refer to a series of frame images obtained by dynamic imaging. Dynamic analysis refers to analytical processing performed on dynamic images, and includes processing to analyze the motion of the subject based on the dynamic images, as well as processing to analyze the dynamic images and emphasize or attenuate (remove) predetermined structures.

[0019] The radiographic imaging device 10, the radiographic imaging control device 20, and the radiographic image analysis device 30 each have a processor and a memory. The radiographic imaging device 10, the radiographic imaging control device 20, and the radiographic image analysis device 30 are a type of computer that realizes predetermined functions by reading, expanding, and executing programs stored in the memory.

[0020] [Radiation imaging device 10] As shown in FIG. 1, the radiographic imaging device 10 includes an imaging control unit 11, a radiation irradiation unit 12, an imaging table 13, a radiation detection unit 14, a display unit 15, and an audio output unit 16.

[0021] The imaging control unit 11 acquires setting information related to the settings of dynamic imaging from the radiation imaging control device 20. Based on the setting information, the imaging control unit 11 sets imaging conditions for performing dynamic imaging, and controls the radiation irradiator 12 based on the imaging conditions to irradiate radiation to the patient M (subject) and perform imaging. The imaging control unit 11 is composed of a CPU (Central Processing Unit), RAM (Random Access Memory), ROM (Read Only Memory), etc.

[0022] The setting information is information relating to settings for performing dynamic radiography on the patient M. The setting information includes, for example, at least one dynamic analysis to be performed by the radiographic image analyzer 30 on the dynamic image. The setting information is set by an operator of the radiographic image processing system 1, such as a radiographer, in the radiography control device 20 described below.

[0023] The imaging conditions include various conditions such as the pulse rate, pulse width, pulse interval, number of frames captured per imaging, radiation dose per unit time, and the physical condition of the patient M (such as respiratory condition). The pulse rate is the number of radiation exposures per second and corresponds to the frame rate of the image data. The pulse width is the radiation exposure time per radiation exposure. The pulse interval is the time from the start of one radiation exposure to the start of the next radiation exposure and corresponds to the time interval (frame interval) between multiple image data. The imaging conditions may be automatically determined by the imaging control unit 11 of the radiographic imaging device 10 based on the setting information.

[0024] The radiation irradiator 12 is disposed at a position facing the radiation detector 14 fixed to the imaging table 13. The radiation irradiator 12 irradiates radiation under the control of the imaging controller 11.

[0025] The radiation detection unit 14 is composed of a semiconductor image sensor such as an FPD (Flat Panel Detector). The radiation detection unit 14 has a substrate on which a plurality of detection elements (pixels) are arranged in a matrix. Each pixel on the substrate detects radiation irradiated from the radiation irradiation unit 12 according to its intensity, and converts the detected radiation into an electrical signal and stores it. Each pixel on the substrate is configured to include a switching unit such as a TFT (Thin Film Transistor).

[0026] The radiation detection unit 14 controls the switching unit of each pixel based on the image reading conditions input from the radiation imaging control device 20 to read the electrical signals accumulated in each pixel and output intensity information for each pixel to the image generation unit 113. The image reading conditions include, for example, the frame rate, frame interval, pixel size, image size (matrix size), etc. The frame rate is the number of frame images acquired per second and coincides with the pulse rate. The frame interval is the time from the start of one image data acquisition operation to the start of the next frame image acquisition operation and coincides with the pulse interval.

[0027] The imaging control unit 11 and the radiation detection unit 14 are connected to each other and exchange synchronization signals with each other to synchronize the radiation irradiation operation and the image reading operation.

[0028] In this way, in the radiographic imaging device 10, the radiation irradiation unit 12 irradiates radiation under the control of the imaging control unit 11. Then, the radiographic imaging device 10 performs dynamic radiographic imaging by generating image data based on the intensity of the irradiated radiation using the radiation detection unit 14.

[0029] The display unit 15 and the audio output unit 16 give instructions to the patient M regarding the posture to be taken, physical condition (such as physical movements), respiratory condition, etc. when performing dynamic radiography of the patient M. The display unit 15 is a display device such as a CRT (Cathode Ray Tube), a liquid crystal display (Liquid Crystal Display), or an organic EL (Electro Luminescence) display. The audio output unit 16 is an audio output device such as a speaker. The audio output unit 16 gives instructions regarding physical movements to the patient M, for example, by autovoice. The display unit 15 and the audio output unit 16 may each give the same instructions to the patient M, or only one of them may give instructions.

[0030] 2 is a block diagram illustrating an example of the functional configuration of the imaging control unit 11 in the radiographic image capturing device 10 that constitutes the radiographic image processing system 1. The imaging control unit 11 has a setting information acquisition unit 111, an imaging condition determination unit 112, an image generation unit 113, and a storage unit 114.

[0031] The setting information acquisition unit 111 acquires setting information from the radiation imaging control device 20 .

[0032] The imaging condition determination unit 112 determines imaging conditions for performing dynamic imaging of the patient M based on the setting information. Information indicating the correspondence between dynamic analysis and imaging conditions suitable for the dynamic analysis is stored in advance in the storage unit 114. The imaging condition determination unit 112 may determine imaging conditions for the dynamic analysis indicated by the setting information by reading information indicating the correspondence from the storage unit 114 and comparing it with the setting information.

[0033] It should be noted that, for example, in the case of screening, emergency care, etc., it may not be possible to set dynamic analysis, which is the setting information. In such cases, the imaging condition determination unit 112 determines the imaging conditions by having the operator select at least one imaging condition from a plurality of predefined imaging conditions. Furthermore, the imaging condition determination unit 112 has the operator select examination order information, and determines the imaging conditions based on the selected examination order information. In this way, when dynamic analysis cannot be set before dynamic imaging, dynamic analysis is set after dynamic imaging under the imaging conditions selected by the operator, and dynamic analysis (analysis by the analysis unit 312, which will be described later) is performed in the radiographic image analyzer 30, which will be described later.

[0034] The image generation unit 113 performs dynamic imaging of the patient M based on the determined imaging conditions and generates multiple frames of radiographic images. Specifically, the image generation unit 113 controls the operations of the radiation irradiator 12 and the radiation detector 14 based on the imaging conditions, and generates image data by obtaining intensity information on the intensity of radiation that has passed through the subject from the radiation detector 14 for each pixel.

[0035] As described above, the storage unit 114 stores in advance information indicating the correspondence between dynamic analysis and imaging conditions suitable for the dynamic analysis.

[0036] [Radiation imaging control device 20] The radiation imaging control device 20 is, for example, a computer such as a PC (Personal Computer), a workstation, etc. The radiation imaging control device 20 may be a desktop computer as shown in the example of Fig. 1, or may be a portable computer such as a notebook computer or a tablet computer.

[0037] The radiography control device 20 receives examination order information from the radiological information terminal 60 or the like, and transmits it to the radiographic image capturing device 10, thereby controlling dynamic radiography by the radiographic image capturing device 10.

[0038] The examination order information includes various information related to the dynamic imaging to be performed next, such as instruction information at the time of imaging, patient information, examination information, imaging information, data attributes, etc. The examination information includes information such as the examination ID, the area to be examined, and the type of analysis. The examination order information is generated, for example, when a doctor or the like requests the radiation image processing system 1 to perform dynamic imaging of patient M.

[0039] Furthermore, the radiography control device 20 generates setting information indicating the dynamic analysis to be performed by the radiographic image analyzer 30 based on input from the operator. The operator may recognize the dynamic analysis to be performed, for example, by referring to the contents of the examination order information, and perform input operations to generate setting information based on this. Alternatively, the operator may recognize the dynamic analysis to be performed based on information provided by a doctor or the like in another way.

[0040] 3 is a block diagram illustrating an example of the functional configuration of the radiation imaging control device 20 that constitutes the radiation image processing system 1. The radiation imaging control device 20 has a control unit 21, a storage unit 22, an operation unit 23, a display unit 24, and a communication unit 25. The components of the radiation imaging control device 20 are connected to each other via a bus 26.

[0041] The radiography control device 20 outputs setting conditions set by an operator or the like and examination order information acquired in advance from a radiation information terminal 60 or the like to the radiography device 10, and controls the radiography processing by the radiography device 10. The radiography control device 20 may, for example, display dynamic images generated by the radiography device 10 so that the operator can check them.

[0042] The control unit 21 is composed of a CPU, RAM, etc. In the control unit 21, the CPU reads out the system program and various processing programs stored in the storage unit 22 in response to an operation of the operation unit 23, and loads them into the RAM. Then, the CPU controls the operation of each unit of the radiation imaging control device 20 based on the loaded programs.

[0043] The control unit 21 includes an acquisition unit 211 , an extraction unit 212 , and a generation unit 213 .

[0044] The acquisition unit 211 acquires a dynamic image including a plurality of frame images showing the movement of the skeleton of the patient M. The skeleton as the target site and the movement of the skeleton will be described later with reference to FIG.

[0045] The extraction unit 212 sets an extraction condition that the skeleton of the patient M is in a specific positional state, and extracts a plurality of consecutive frame images within a time frame including a timing according to the extraction condition from a plurality of frame images of the dynamic image. The extraction condition will also be described later with reference to FIG. 6.

[0046] The generation unit 213 generates additional frame images corresponding to the timing according to the extraction conditions from the extracted consecutive frame images. The frame images corresponding to the timing according to the extraction conditions, that is, the frame images that are key necessary for accurate diagnosis (hereinafter referred to as key images), will be described later with reference to FIG.

[0047] In this embodiment, the control unit 21 determines whether or not there is a frame image that serves as a key necessary for accurate diagnosis, i.e., a key image, in the dynamic image to be analyzed before executing the orthopedic measurement mode described below. If it is determined that there is no key image, the acquisition unit 211, extraction unit 212, and generation unit 213 generate a frame image that serves as the key image from a plurality of consecutive frame images in which the skeleton is in a specific positional state, and add the generated frame image to the dynamic image.

[0048] The storage unit 22 is configured with a non-volatile semiconductor memory, a hard disk, etc. The storage unit 22 stores various programs executed by the control unit 21, parameters required for executing processes by the programs, or data such as processing results (dynamic images, etc.). The various programs are stored in the form of readable program code, and the control unit 21 sequentially executes operations in accordance with the program code.

[0049] The storage unit 22 also stores image reading conditions for performing dynamic radiography. Furthermore, the storage unit 22 stores examination order information transmitted from the radiation information terminal 60, etc. When the radiation imaging control device 20 controls dynamic radiography of the radiation image capturing device 10, it reads out the image reading conditions and examination order information corresponding to the patient M from the storage unit 22 and transmits them.

[0050] The operation unit 23 is an operation device such as a keyboard equipped with cursor keys, numeric input keys, and various function keys, a pointing device such as a mouse or a trackball, and a touch panel. The operation unit 23 generates an instruction signal based on an input from the operator and outputs it to the control unit 21.

[0051] The display unit 24 is configured with a display device such as a CRT, a liquid crystal display, an organic EL display, etc. In accordance with instructions of a display signal input from the control unit 21, the display unit 24 displays input instructions from the operation unit 23, image data (dynamic images, etc.) generated by the radiographic image capturing device 10, etc.

[0052] The communication unit 25 transmits and receives data to and from the radiation image capturing device 10, the radiation image analyzing device 30, the radiation information terminal 60, and the like.

[0053] [Radiation image analyzer 30] The radiation image analysis device 30 is, for example, a computer such as a PC, a workstation, etc. The radiation image analysis device 30 may be a desktop computer or a portable computer such as a notebook computer or a tablet computer.

[0054] The radiographic image analyzer 30 performs dynamic analysis on the dynamic images captured by the radiographic image capturing device 10 based on the setting information set in the radiographic image capturing control device 20 .

[0055] 4 is a block diagram illustrating an example of the functional configuration of the radiographic image analysis device 30 that constitutes the radiographic image processing system 1. The radiographic image analysis device 30 has a control unit 31, a storage unit 32, an operation unit 33, a display unit 34, and a communication unit 35. The components of the radiographic image analysis device 30 are connected by a bus 36.

[0056] The control unit 31 is composed of a CPU, RAM, etc. In the control unit 31, the CPU reads out the system program and various processing programs stored in the storage unit 32 in response to an operation of the operation unit 33, and loads them into the RAM. Then, the CPU executes operation control and dynamic analysis of each unit of the radiological image analyzer 30 based on the loaded programs.

[0057] The control unit 31 includes an image acquisition unit 311 and an analysis unit 312 .

[0058] The image acquisition unit 311 acquires dynamic images, which are radiographic images of multiple frames generated by the radiographic image capturing device 10.

[0059] The analysis unit 312 executes the dynamic analysis set in the setting information on the dynamic image acquired from the radiographic image capturing device 10 and acquires the analysis result. At this time, if the analysis unit 312 cannot analyze the dynamic image (cannot acquire the analysis result), it determines that the analysis is not possible.

[0060] The analysis unit 312 has, for example, an orthopedic-related measurement mode as a type of dynamic analysis.

[0061] The orthopedic measurement mode is a mode in which, for example, changes in the position of a designated bone in a limb or the like are measured and the trajectory of the movement is displayed.

[0062] In this embodiment, as described above, if it is determined that the key image does not exist, a frame image serving as the key image is generated and added to the dynamic image. Therefore, the analysis unit 312 executes the orthopedic measurement mode on a dynamic image that always includes the frame image serving as the key image. As a result, the analysis unit 312 can measure the target area more accurately, allowing doctors and other professionals to make more accurate diagnoses based on the measurement results and the dynamic image.

[0063] The storage unit 32 is configured with a non-volatile semiconductor memory, a hard disk, etc. The storage unit 32 stores various programs executed by the control unit 31, parameters required for executing processing by the programs, or data such as processing results (dynamic images, analysis results, measurement results, etc.). The various programs are stored in the form of readable program code, and the control unit 31 sequentially executes operations in accordance with the program code.

[0064] The storage unit 32 also stores list information indicating patient information, examination information, and status (e.g., progress status such as receiving, dynamic analysis in progress, analysis completed, etc.) related to each dynamic image generated by the radiographic imaging device 10. Furthermore, the storage unit 32 stores analysis results and measurement results in association with the dynamic image.

[0065] The operation unit 33 is an operation device such as a keyboard equipped with cursor keys, numeric input keys, and various function keys, a pointing device such as a mouse or a trackball, and a touch panel. The operation unit 33 generates instruction signals based on input by the operator and outputs them to the control unit 31. The operation unit 33 may also be equipped with a touch panel on the display screen of the display unit 34, in which case the operation unit 33 outputs instruction signals input via the touch panel to the control unit 31.

[0066] The display unit 34 is configured with a display device such as a CRT, a liquid crystal display, an organic EL display, etc. In accordance with instructions of a display signal input from the control unit 31, the display unit 34 displays input instructions from the operation unit 33, image data generated by the radiographic imaging device 10 (dynamic image analysis results, measurement results, etc.), etc.

[0067] The communication unit 35 transmits and receives data to and from the radiation imaging control device 20, the image management device 40, and the like.

[0068] [Radiographic image completion method] Fig. 5 is a flowchart illustrating a radiographic image complementing method executed by the radiography control device 20. The program for the radiographic image complementing method described below is included in the program executed by the control unit 21. Fig. 6 is a diagram illustrating examples of the operations, extraction conditions, recognition and measurement targets, and key images for each target region.

[0069] (Step S11) The control unit 21 of the radiation imaging control device 20 sets the target region actions and extraction conditions according to the target region of the patient M, who is the subject. For example, the radiation imaging control device 20 sets the target region based on examination order information transmitted from the radiation information terminal 60 or the like, and sets the target region actions and extraction conditions according to the set target region. If there are multiple target region actions and extraction conditions for the set target region, the radiation imaging control device 20 displays the multiple target region actions and extraction conditions on the display unit 24 so that the operator can select one.

[0070] 6, when the target region is the "cervical vertebrae," the control unit 21 sets "forward and backward bending" as the movement, and sets "full forward bending" and "full backward bending" as the extraction conditions. In this case, the control unit 21 sets the "lower edge of the vertebrae" as the object to be recognized in the dynamic image, and sets "full forward bending" and "full forward bending" as the key images.

[0071] For other target parts, the motion, extraction conditions, recognition and measurement targets, and key images are set according to the target part, as shown in the example of Fig. 6. When the target part is a "shoulder joint" or a "knee joint," there are multiple motions. Therefore, as described above, the motions and extraction conditions of multiple target parts are presented and the operator is allowed to select, thereby setting the motion, extraction conditions, recognition and measurement targets, and key images.

[0072] (Step S12) The radiation imaging device 10 and the radiation imaging control device 20 have the patient M move the target part, and perform dynamic imaging of the target part while it is moving. Then, the control unit 21 (acquisition unit 211) of the radiation imaging control device 20 acquires dynamic images. During this dynamic imaging, the control unit 21 of the radiation imaging control device 20 instructs the patient M on the movement of the target part, for example, by auto-voice using the audio output unit 16.

[0073] For example, when the target site is the "cervical vertebrae," the control unit 21 instructs the patient M to perform forward and backward bending of the cervical vertebrae by auto-voice using the audio output unit 16 (see FIG. 6).

[0074] The same applies to other target areas, and the control unit 21 instructs the patient M to perform an action according to the target area by auto-voice using the audio output unit 16 (see FIG. 6).

[0075] (Step S13) The control unit 21 (extraction unit 212) of the radiography control device 20 extracts, from the multiple frame images of the captured dynamic image, multiple consecutive frame images within a time frame including timing according to the extraction condition that the skeleton is in a specific positional state.

[0076] For example, if the target region is the "cervical vertebrae," the extraction conditions are "full forward flexion" and "full forward flexion." Based on the extraction conditions, the control unit 21 (extraction unit 212) extracts, from a plurality of frame images of dynamic images taken while bending the cervical vertebrae forward and backward, a plurality of consecutive frame images within a time frame including the timing when the cervical vertebrae are in a full forward flexion state. The extraction unit 212 also extracts a plurality of consecutive frame images within a time frame including the timing when the cervical vertebrae are in a full forward flexion state.

[0077] The same applies to other target parts, and the extraction unit 212 extracts multiple consecutive frame images within a time frame that includes timing according to the extraction conditions corresponding to the target part from multiple frame images of a dynamic image taken while the target part is moving.

[0078] (Step S14) The control unit 21 of the radiography control device 20 determines whether or not there is a frame image corresponding to the timing according to the extraction conditions among the extracted multiple consecutive frame images. If there is a frame image corresponding to the timing according to the extraction conditions (YES), the dynamic image contains the key image, and after identifying the key image, the series of processes ends. On the other hand, if there is no frame image corresponding to the timing according to the extraction conditions (NO), the dynamic image does not contain the key image, and the process proceeds to step S15.

[0079] For example, if the target region is the "cervical spine," the frame images corresponding to the timings according to the extraction conditions are frame images corresponding to the timings of "full forward bending" and "full rear bending." However, for example, if patient M is experiencing pain in the cervical spine, he or she may not be able to perform forward and rear bending in the same way as a healthy person. In this case, the frame images of "full forward bending" and "full rear bending" in the dynamic image may not be frame images of the true "full forward bending" and "full rear bending."

[0080] For this reason, the control unit 21 creates a healthy person model that determines whether the frame images are true "full forward bending" and "full backward bending" from, for example, dynamic images of an able-bodied person performing forward bending. The able-bodied person model includes feature quantities, described below, that indicate specific skeletal positions. The control unit 21 then compares the frame images extracted as "full forward bending" and "full forward bending" with the able-bodied person model, and if it can be determined that they correspond to the able-bodied person model, determines that they are frame images corresponding to the timing according to the extraction conditions.

[0081] Here, the healthy subject model was created from dynamic images of an healthy subject performing forward and backward bending. However, a case model may also be created from dynamic images of an healthy subject performing forward and backward bending, for example, from images of a patient with a cervical spine-related condition. The case model also includes feature quantities, described below, that indicate a specific skeletal position. In this case, the control unit 21 compares the frame images extracted as "full forward bending" and "full forward bending" with the case model, and if it is determined that the frame images correspond to the case model, it determines that the frame images do not correspond to the timing according to the extraction conditions.

[0082] (Step S15) The control unit 21 (generation unit 213) of the radiation imaging control device 20 generates additional frame images corresponding to the timing according to the extraction conditions from the extracted plurality of consecutive frame images.

[0083] For example, as described above, when the target region is the "cervical vertebrae" and patient M is experiencing pain in the cervical vertebrae, he or she may not be able to perform forward and backward bending in the same manner as a healthy person. In this case, the frame images of "full forward bending" and "full backward bending" in the dynamic images may not be frame images of the true "full forward bending" and "full backward bending," and an accurate diagnosis may not be possible from such frame images.

[0084] Therefore, the generation unit 213 generates additional frame images corresponding to timings according to the extraction conditions, i.e., true "full forward flexion," from the plurality of consecutive frame images extracted as "full forward flexion." Similarly, the generation unit 213 generates additional frame images corresponding to timings according to the extraction conditions, i.e., true "full forward flexion," from the consecutive frame images extracted as "full forward flexion." Generating such additional image frames enables doctors and other personnel to make more accurate diagnoses.

[0085] The same applies to other target regions, and the control unit 21 (generation unit 213) generates additional frame images corresponding to timings according to the extraction conditions from a plurality of consecutive frame images extracted based on the extraction conditions.

[0086] When generating additional frame images, the generation unit 213 performs global matching processing, local matching processing, warping processing, etc. on the images, since the extracted multiple consecutive frame images are images in motion. At this time, the above-mentioned processing is performed by referring to past key images or using AI that has learned from past key images.

[0087] After generating the additional frame image, the control unit 21 may display the generated additional frame image on the display unit 24 or store it in the storage unit 22.

[0088] After performing the above-described radiographic image complementing method, the control unit 21 transmits the dynamic image including the additional frame images to the radiographic image analyzing device 30, the image management device 40, or the like.

[0089] The radiographic image analysis device 30 analyzes the dynamic images sent from the radiography control device 20 in orthopedic-related measurement mode, and as analysis results, measures the positional changes of the specified bones and displays the trajectory of their movement.

[0090] The analysis results obtained by the radiation image analysis device 30 are then transmitted to the image management device 40 together with the dynamic image, and can be viewed by a doctor or the like from the client terminal 50, for example.

[0091] A doctor viewing the dynamic images and analysis results from the client terminal 50 can make a more accurate diagnosis without having to take images again, since the dynamic images include the key images.

[0092] Here, a specific example of the above-mentioned radiological image complementing method will be described with reference to FIGS. 7 to 14 as well as FIGS. 5 and 6. FIG.

[0093] [Example 1 - Cervical spine] Fig. 7 is a diagram showing an example of a frame image in a state of maximum forward bending in an anterior-posterior bending motion of the cervical spine, and Fig. 8 is a diagram showing an example of a frame image in a state of maximum forward bending in an anterior-posterior bending motion of the cervical spine.

[0094] When diagnosing the function of the cervical spine, the control unit 21 sets the "cervical spine" as the target region, sets "forward and backward bending" as the motion, and sets "full forward bending" and "full forward bending" as extraction conditions, for example, based on the test order information, as shown in Fig. 6. Furthermore, the control unit 21 sets the "lower edge of the vertebrae" as the recognition target, and sets "full forward bending" and "full forward bending" as key images, as shown in Fig. 6.

[0095] The radiographic imaging device 10 and the radiographic control device 20 cause the patient M to flex the cervical spine anteriorly and posteriorly, perform dynamic imaging of the cervical spine from the side during flexion, and acquire dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame including the timing when the cervical spine is in the positional state, based on the extraction conditions of "full flexion" and "full flexion."

[0096] Thereafter, the control unit 21 determines whether or not there is a frame image that corresponds to the timing according to the extraction conditions of "full forward bending" and "final bending" among the extracted plurality of consecutive frame images.

[0097] 7 and 8, the lower edges of the cervical vertebrae C2 and C7 are recognized, and angles θ1 and θ2 (feature amounts in the present invention) at which extensions of the lower edges of the cervical vertebrae intersect are determined. Then, the frame image with the largest angles θ1 and θ2 may be compared with, for example, a healthy subject model or a case model to determine whether it is a frame image corresponding to the above timing.

[0098] If there is a frame image among the extracted multiple consecutive frame images that corresponds to the timing according to the extraction conditions of "full forward bending" and "final bending", the control unit 21 identifies that frame image as a key image.

[0099] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction conditions of "full forward bending" and "final bending", the control unit 21 (generation unit 213) generates an additional frame image.

[0100] For example, the generation unit 213 finds an additional frame image corresponding to the true "full forward bending" from the plurality of consecutive frame images extracted as "full forward bending," for example, a timing at which the angle θ1 described above becomes the same angle (true maximum) as that of the able-bodied subject model. Then, the generation unit 213 generates a frame image at that timing.

[0101] Similarly, the generation unit 213 finds an additional frame image corresponding to the true "end-flexion" from the plurality of consecutive frame images extracted as "end-flexion," for example, a timing at which the angle θ2 described above becomes the same angle (true maximum) as that of the able-bodied subject model. Then, the generation unit 213 generates a frame image at that timing.

[0102] That is, here, the generation unit 213 extrapolates an additional frame image corresponding to the true "full forward flexion" from a plurality of consecutive frame images extracted as "full forward flexion." Similarly, the generation unit 213 extrapolates an additional frame image corresponding to the true "full forward flexion" from a plurality of consecutive frame images extracted as "full forward flexion."

[0103] In this way, the radiography control device 20 can add a frame image corresponding to the true "full forward bending" and a frame image corresponding to the true "final bending," i.e., a key image, to the dynamic image of the cervical spine during forward and backward bending that has been captured.

[0104] [Example 2 - Lumbar vertebrae] Although the cervical spine has been described in Specific Example 1, the same processing as for the cervical spine can be performed as a radiological image completion method for the lumbar spine. This makes it possible to add a frame image corresponding to the true "full forward bending" and a frame image corresponding to the true "final bending," that is, a key image.

[0105] [Example 3 - wrist] Fig. 9 is a schematic diagram showing an example of a frame image in a normal state during ulnar flexion and flexion of the wrist, and Fig. 10 is a schematic diagram showing an example of a frame image in a state of dynamic ulnar thrust syndrome during ulnar flexion and flexion of the wrist.

[0106] When diagnosing the function of the wrist joint, the control unit 21 sets the "wrist joint" as the target site, sets "ulnar flexion" as the movement, and sets "the state where the ulna is most raised" as the extraction condition, for example, based on the test order information, as shown in Fig. 6. Furthermore, the control unit 21 sets the "distance between the end of the ulna and the end of the radius" as the measurement target, and sets "the state where the ulna is most raised" as the key image, as shown in Fig. 6.

[0107] Here, "ulnar flexion" refers to the movement of bending the wrist joint toward the little finger (the direction of the ulna), and "radial flexion" refers to the movement of bending the wrist joint toward the thumb (the direction of the radius).

[0108] The radiographic imaging device 10 and the radiographic control device 20 have the patient M flex the wrist joint in ulnar flexion and perform dynamic imaging of the wrist joint during ulnar flexion from the front to obtain dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame including the timing when the wrist joint is in that positional state, based on the extraction condition "state where the ulna is most raised."

[0109] Thereafter, the control unit 21 determines whether or not there is a frame image among the extracted plurality of consecutive frame images that corresponds to the timing corresponding to the extraction condition "the state in which the ulna is most raised."

[0110] 9 and 10, the ulna and radius are recognized, and the distance between them, for example, the distance D1 of the ulna to the radius (feature amount in the present invention), is calculated.Then, the frame image with the largest distance D1 may be compared with, for example, a healthy subject model or a case model to determine whether it is a frame image corresponding to the above timing.

[0111] If there is a frame image among the extracted multiple consecutive frame images that corresponds to the timing corresponding to the extraction condition of "the state in which the ulna is most raised," the control unit 21 identifies that frame image as a key image.

[0112] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing corresponding to the extraction condition of "the state in which the ulna is most raised," the control unit 21 (generation unit 213) generates an additional frame image.

[0113] For example, if the change in distance D1 for each frame image indicates that distance D1 is greatest at a timing between frame images, the generation unit 213 determines that timing. Then, the generation unit 213 generates an additional frame image corresponding to the timing at which distance D1 is greatest from the extracted multiple consecutive frame images.

[0114] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the ulna is most raised" from the extracted plurality of consecutive frame images.

[0115] In this way, the radiography control device 20 can add a frame image corresponding to the true "state in which the ulna is most raised," i.e., a key image, to the dynamic image of the wrist joint during ulnar flexion and bending that has been captured.

[0116] [Example 4 - Shoulder joint] FIG. 11 is a diagram showing an example of a frame image showing the positioning state of the humeral head relative to the glenoid cavity of the scapula during an abduction and elevation movement of the shoulder joint.

[0117] When diagnosing the function of the shoulder joint, the control unit 21 sets the "shoulder joint" as the target site, sets "abduction and elevation" as the movement, and sets "the state where the distance between the glenoid fossa of the scapula and the humeral head is at its maximum" as the extraction condition, based on the test order information, as shown in Fig. 6. Furthermore, the control unit 21 sets the "distance between the center of the glenoid fossa and the center of the humeral head" as the measurement target, and sets "the state where the distance between the glenoid fossa of the scapula and the humeral head is at its maximum" as the key image, as shown in Fig. 6.

[0118] Here, "abduction" refers to the movement of moving away from the median plane of the body, and in this case, the movement of moving the arm away from the median plane of the body. "Fist lift" refers to the movement of lifting the arm upward at the shoulder joint. "Abduction lift" refers to the movement of lifting the arm away from the median plane of the body and upward.

[0119] The radiographic imaging device 10 and the radiographic control device 20 have the patient M abduct and raise the shoulder joint, and perform dynamic imaging of the shoulder joint from the front while it is being abducted and raised, thereby acquiring dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame that includes the timing when the shoulder joint is in that position, based on the extraction condition "a state in which the distance between the glenoid fossa of the scapula and the humeral head is at its maximum."

[0120] Then, the control unit 21 determines whether or not there is a frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the distance between the glenoid fossa of the scapula and the humeral head is at its maximum."

[0121] For example, as shown in Fig. 11, the center of the glenoid fossa of the scapula and the center of the humeral head are recognized, and the distance D2 (feature value in the present invention) between the centers is calculated. Then, the frame image with the largest distance D2 is compared with, for example, a healthy subject model or a clinical case model to determine whether it is a frame image corresponding to the above timing.

[0122] If there is a frame image among the extracted multiple consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the distance between the glenoid fossa of the scapula and the humeral head is at its maximum," the control unit 21 identifies that frame image as a key image.

[0123] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the distance between the glenoid fossa of the scapula and the humeral head is at its maximum," the control unit 21 (generation unit 213) generates an additional frame image.

[0124] For example, if the change in distance D2 for each frame image indicates that distance D2 is greatest at a timing between frame images, the generation unit 213 determines that timing. Then, the generation unit 213 generates an additional frame image corresponding to the timing at which distance D2 is greatest from the extracted multiple consecutive frame images.

[0125] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the distance between the glenoid cavity of the scapula and the humeral head is at its maximum" from the extracted plurality of consecutive frame images.

[0126] In this way, the radiography control device 20 can add a frame image, i.e., a key image, that corresponds to the true "state in which the distance between the glenoid fossa of the scapula and the humeral head is at its maximum" to the dynamic image of the shoulder joint during abduction and elevation that has been captured.

[0127] [Example 5 - Shoulder joint] FIG. 12 is a diagram showing an example of a frame image showing the position of the greater tuberosity during internal and external rotation of the shoulder joint.

[0128] When diagnosing the function of the shoulder joint, the control unit 21 sets the "shoulder joint" as the target site, "internal and external rotation" as the movement, and "the state in which the greater tuberosity is widest" as the extraction condition, for example, based on the test order information, as shown in Fig. 6. Furthermore, the control unit 21 sets the "width of the greater tuberosity" as the measurement target, and sets the "state in which the greater tuberosity is widest" as the key image, as shown in Fig. 6.

[0129] Here, "internal rotation" refers to a movement that moves closer to the median plane of the body (a movement that rotates inward), and "external rotation" refers to a movement that moves away from the median plane (a movement that rotates outward).

[0130] The radiographic imaging device 10 and the radiographic control device 20 have the patient M internally and externally rotate the shoulder joint, and perform dynamic imaging of the shoulder joint during internal and external rotation from the front to obtain dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame that includes the timing when the shoulder joint is in that positional state, based on the extraction condition "the greater tuberosity is at its widest."

[0131] Thereafter, the control unit 21 determines whether or not there is a frame image among the extracted plurality of consecutive frame images that corresponds to the timing corresponding to the extraction condition "greater tubercle at its widest state."

[0132] For example, as shown in Fig. 12, a greater nodule is recognized and its area A1 (a feature value in the present invention) is calculated. Then, the frame image with the largest area A1 is compared with, for example, a healthy subject model or a case model to determine whether it is a frame image corresponding to the above timing.

[0133] If there is a frame image among the extracted multiple consecutive frame images that corresponds to the timing corresponding to the extraction condition of "greater tubercle at its widest", the control unit 21 identifies that frame image as a key image.

[0134] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing corresponding to the extraction condition of "the greater tubercle being at its widest", the control unit 21 (generation unit 213) generates an additional frame image.

[0135] For example, if the change in area A1 for each frame image indicates that area A1 is maximized at a timing between frame images, the generation unit 213 determines that timing. Then, the generation unit 213 generates an additional frame image corresponding to the timing at which area A1 is maximized from the extracted multiple consecutive frame images.

[0136] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the greater tubercle is at its widest" from the extracted plurality of consecutive frame images.

[0137] In this way, the radiography control device 20 can add a frame image corresponding to the true "state in which the greater tuberosity is widest," i.e., a key image, to the dynamic image of the shoulder joint during internal and external rotation that has been captured.

[0138] [Example 6 - Thigh] FIG. 13 is a diagram showing an example of a frame image showing the arrangement of the femoral head and the hip joint acetabulum during the abduction of the thigh.

[0139] When diagnosing the function of the thigh, the control unit 21 sets "thigh" as the target site, "abduction" as the motion, and "the state in which the femoral head and the hip joint acetabulum are close together" as the extraction condition, for example, based on the test order information, as shown in Fig. 6. Furthermore, the control unit 21 sets "the distance between the femoral head and the acetabulum" as the measurement target, and sets "the state in which the femoral head and the hip joint acetabulum are close together" as the key image, as shown in Fig. 6.

[0140] Here, "abduction" refers to the movement of moving away from the median plane of the body, and in this case, the movement of opening the foot outward at the hip joint.

[0141] The radiographic imaging device 10 and the radiographic control device 20 have the patient M abduct the thigh, and perform dynamic imaging of the abducted thigh from the front to obtain a dynamic image. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic image, multiple consecutive frame images within a time frame including the timing when the femur is in that position, based on the extraction condition "a state in which the femoral head and the hip joint acetabulum are close to each other."

[0142] The control unit 21 then determines whether or not there is a frame image among the extracted consecutive frame images that corresponds to the timing corresponding to the extraction condition of "the state in which the femoral head and the hip joint acetabulum are close to each other."

[0143] For example, as shown in Fig. 13, the femoral head and the hip joint acetabulum are recognized, and the distance D3 (feature value in the present invention) between the femoral head and the acetabulum is calculated. Then, the frame image with the smallest distance D3 is compared with, for example, a healthy subject model or a case model to determine whether it is a frame image corresponding to the above timing. Here, the distance D3 is the distance at the narrowest point between the femoral head and the acetabulum.

[0144] If there is a frame image among the extracted multiple consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the femoral head and the hip joint acetabulum are close to each other," the control unit 21 identifies that frame image as a key image.

[0145] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the femoral head and the hip joint acetabulum are close to each other," the control unit 21 (generation unit 213) generates an additional frame image.

[0146] For example, if the distance D3 between the femoral head and the acetabulum changes for each frame image and the distance D3 is smallest at a timing between frame images, the generating unit 213 determines that timing. Then, the generating unit 213 generates an additional frame image corresponding to the timing at which the distance D3 is smallest from the extracted multiple consecutive frame images.

[0147] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the femoral head and hip joint acetabulum are close to each other" from the extracted plurality of consecutive frame images.

[0148] In this way, the radiography control device 20 can add a frame image that corresponds to the true "state in which the femoral head and the hip joint acetabulum are close together," that is, a key image, to the captured dynamic image of the femur during abduction. Even if there is actually impingement between the femoral head and the hip joint acetabulum and the impingement state cannot be captured as a frame image, the impingement state can be visually confirmed using the key image without having to re-capture the image.

[0149] [Example 7 - Various joints] Here, a knee joint will be described as an example of various joints. Fig. 14 is a diagram showing an example of a frame image showing the state of the knee joint during load-bearing motion of the knee joint.

[0150] When diagnosing the function of the knee joint, the control unit 21 sets the "knee joint" as the target site, "extension-flexion under load" as the motion, and "the state in which the knee joint is at its narrowest" as the extraction condition, based on the test order information, for example. The control unit 21 also sets the "distance between the bones of the knee joint" as the measurement target, and sets the "state in which the knee joint is at its narrowest" as the key image.

[0151] Here, "extension" refers to the movement of straightening the knee joint, and "flexion" refers to the movement of bending the knee joint. "Extension and flexion under load" refers to the movement of extending and flexing the knee joint when a load is applied to the knee joint, for example, when patient M is carrying a heavy object.

[0152] The radiographic imaging device 10 and the radiographic control device 20 have the patient M extend and flex the knee joint while carrying a heavy object, and perform dynamic imaging of the knee joint from the front while it is extended and flexed to obtain dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame that includes the timing when the knee joint is in the positional state, based on the extraction condition "the state in which the knee joint is narrowest."

[0153] Thereafter, the control unit 21 determines whether or not there is a frame image that corresponds to the timing corresponding to the extraction condition "the state in which the knee joint is at its narrowest position" among the extracted plurality of consecutive frame images.

[0154] For example, as shown in Fig. 14, the femur and tibia of a knee joint are recognized, and the distance D4 (feature amount in the present invention) of the joint space between the femur and tibia is calculated. Then, the frame image with the smallest distance D4 is compared with, for example, a healthy subject model or a clinical case model to determine whether it is a frame image corresponding to the above timing. Here, the distance D4 is the distance at the narrowest point between the femur and tibia.

[0155] If there is a frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition "the knee joint is in the narrowest state," the control unit 21 identifies that frame image as a key image.

[0156] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing corresponding to the extraction condition "the state in which the knee joint is narrowest," the control unit 21 (generation unit 213) generates an additional frame image.

[0157] For example, if the distance D4 between frame images is smallest at a timing between the frame images based on the change in the joint space distance D4 for each frame image, the generating unit 213 determines that timing. Then, the generating unit 213 generates an additional frame image corresponding to the timing at which the distance D4 is smallest from the extracted plurality of consecutive frame images.

[0158] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the knee joint is narrowest" from the extracted plurality of consecutive frame images.

[0159] In this way, the radiography control device 20 can add a frame image, i.e., a key image, that corresponds to the true "state in which the knee joint is narrowest," to the dynamic image of the knee joint during extension and flexion under load.

[0160] [Example 8 - Various joints] Here again, the knee joint will be taken as an example of various joints.

[0161] When diagnosing the function of the knee joint, the control unit 21 sets the "knee joint" as the target site, "extension and flexion" as the rotational movement of the knee joint, and "the state in which the knee joint is most widely projected" as the extraction condition, based on the test order information, for example. The control unit 21 also sets the "thickness of the knee joint cavity" as the measurement target, and sets the "state in which the knee joint is most widely projected" as the key image.

[0162] The radiographic imaging device 10 and the radiographic imaging control device 20 have the patient M extend and flex the knee joint, and perform dynamic imaging of the knee joint from the side while it is extended and flexed to obtain dynamic images. Then, the control unit 21 (extraction unit 212) extracts, from the multiple frame images of the dynamic images, multiple consecutive frame images within a time frame that includes the timing when the knee joint is in that position, based on the extraction condition "a state in which the knee joint is most widely projected."

[0163] Thereafter, the control unit 21 determines whether or not there is a frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the knee joint is projected most widely."

[0164] For example, the knee joint cavity is recognized and the thickness of the knee joint cavity (a feature value in the present invention) is calculated.Then, the frame image in which the thickness of the knee joint cavity is at its maximum may be compared with, for example, a healthy subject model or a case model to determine whether the frame image corresponds to the timing described above.

[0165] If there is a frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the knee joint is projected most widely," the control unit 21 identifies that frame image as a key image.

[0166] On the other hand, if there is no frame image among the extracted consecutive frame images that corresponds to the timing according to the extraction condition of "the state in which the knee joint is projected most widely," the control unit 21 (generation unit 213) generates an additional frame image.

[0167] For example, if the thickness of the knee joint cavity changes between frame images and the thickness is greatest at a timing between the frame images, the generating unit 213 determines the timing. Then, the generating unit 213 generates an additional frame image corresponding to the timing at which the thickness is greatest from the extracted plurality of consecutive frame images.

[0168] That is, here, the generating unit 213 complements the frame image corresponding to the true "state in which the knee joint is projected most widely" from the extracted plurality of consecutive frame images.

[0169] In this way, the radiography control device 20 can add a frame image, i.e., a key image, that corresponds to the true "widest projection state of the knee joint," to the dynamic image of the knee joint during extension and flexion that has been captured.

[0170] As described above, the radiation imaging control device 20 includes an acquisition unit 211, an extraction unit 212, and a generation unit 213. The acquisition unit 211 acquires a dynamic image including a plurality of frame images showing the movement of the skeleton of the patient M. The extraction unit 212 uses an extraction condition that the skeleton of the patient M is in a specific positional state as the extraction condition, and extracts a plurality of consecutive frame images within a time frame including a timing according to the extraction condition from the plurality of frame images of the dynamic image. The generation unit 213 generates an additional frame image (key image) corresponding to the timing according to the extraction condition from the extracted consecutive frame images.

[0171] If it is determined that there is no key image, the radiography control device 20 generates a frame image to be used as the key image and adds it to the dynamic image. In other words, it is possible to provide the frame image necessary for accurate diagnosis without having to perform re-imaging.

[0172] Therefore, in the radiological image analyzer 30, the analysis unit 312 executes the orthopedic measurement mode on dynamic images that always include a frame image that serves as a key image. As a result, the analysis unit 312 can measure the target area more accurately, and doctors and other medical professionals can make more accurate diagnoses based on the measurement results and dynamic images.

[0173] Furthermore, since there is no need to take the image again, the burden on the patient can be reduced and the amount of radiation exposure can be reduced.

[0174] The above-described embodiments are merely examples of specific embodiments for carrying out the present invention, and the technical scope of the present invention should not be construed as being limited by these embodiments. In other words, the present invention can be carried out in various forms without departing from the gist or main features thereof. [Explanation of symbols]

[0175] 1. Radiation image processing system 10 Radiation imaging device 11. Imaging control unit 12 Radiation irradiation unit 13 Photo stand 14 Radiation detection unit 15 Display section 16 Audio output section 20 Radiography control device 21 Control Unit 22 Memory section 23 Control section 24 Display section 25 Communications Department 26 Bus 30 Radiation image analysis device 31 Control Unit 32 Storage section 33 Operation section 34 Display section 35 Communications Department 36 Bus 40 Image management device 50 client terminals 60 Radiation Information Terminal 111 Setting information acquisition unit 112 Shooting condition determination unit 113 Image Generation Unit 114 Storage section 211 Acquisition Department 212 Extraction part 213 Generation part 311 Image Acquisition Unit 312 Analysis Department

Claims

1. an acquisition unit for acquiring a radiological dynamic image including a plurality of frame images showing the skeletal movement of the subject; an extraction unit that extracts, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; a generating unit that generates an additional frame image corresponding to the timing from the extracted plurality of consecutive frame images; Equipped with Radiation image processing equipment.

2. the extraction condition is that the feature quantity indicating the specific layout state is maximum or minimum; The radiation image processing device according to claim 1 .

3. the generation unit determines a timing at which the feature amount is maximum or minimum from the plurality of consecutive frame images, and generates a frame image corresponding to the determined timing as the additional frame image. The radiation image processing device according to claim 2 .

4. the generation unit generates a frame image that complements the plurality of consecutive frame images as the additional frame image; The radiation image processing device according to claim 1 .

5. the generation unit generates a frame image that extrapolates the plurality of consecutive frame images as the additional frame image. The radiation image processing device according to claim 1 .

6. In a radiation image processing device, acquiring a radiological dynamic image including a plurality of frame images showing skeletal movement of the subject; extracting, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; generating an additional frame image corresponding to the timing from the extracted plurality of consecutive frame images; Radiography image completion method.

7. The computer of the radiation image processing device acquiring a radiological dynamic image including a plurality of frame images showing skeletal movement of the subject; a process of extracting, from the plurality of frame images, a plurality of consecutive frame images within a time frame including a timing according to an extraction condition that the skeleton is in a specific arrangement state; generating an additional frame image corresponding to the timing from the extracted plurality of consecutive frame images; Execute Radiography image completion program.

Images