WO2023195242A1 - Ｘ線画像処理装置、ｘ線画像処理方法、および、プログラム - Google Patents

Ｘ線画像処理装置、ｘ線画像処理方法、および、プログラム Download PDF

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WO2023195242A1
WO2023195242A1 PCT/JP2023/005489 JP2023005489W WO2023195242A1 WO 2023195242 A1 WO2023195242 A1 WO 2023195242A1 JP 2023005489 W JP2023005489 W JP 2023005489W WO 2023195242 A1 WO2023195242 A1 WO 2023195242A1
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vertebral body
ray image
image
evaluation
edge
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PCT/JP2023/005489
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English (en)
French (fr)
Japanese (ja)
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駿介 加治木
和義 西野
翔太郎 荒川
充 斎藤
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株式会社島津製作所
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Priority to JP2024514167A priority Critical patent/JPWO2023195242A1/ja
Publication of WO2023195242A1 publication Critical patent/WO2023195242A1/ja

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment

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  • the present invention relates to an X-ray image processing device, an X-ray image processing method, and a program, and particularly to an X-ray image processing device, an X-ray image processing method, and a program for estimating an evaluation position for evaluating the shape of a vertebral body. , regarding the program.
  • X-ray image processing devices for evaluating the shape of vertebral bodies are known.
  • Such an X-ray image processing device is disclosed in, for example, Japanese Patent Laid-Open No. 2009-219763.
  • Japanese Patent Laid-Open No. 2009-219763 discloses an image measuring device that displays a side image of a vertebral body taken from the side of a human body on a display unit.
  • the user can manipulate the mouse button to determine the upper edge of the anterior edge, the lower edge of the anterior edge, the upper edge of the center, and the upper edge of the center of the vertebral body on the side image displayed on the display.
  • the positions of the lower edge, the upper edge of the trailing edge, and the lower edge of the trailing edge are specified.
  • the image measuring device measures the anterior edge height, central height, and posterior edge height of the vertebral body based on the designated position.
  • the user evaluates the shape of the vertebral body based on the measured anterior edge height, central height, and posterior edge height of the vertebral body.
  • This invention was made to solve the above problems, and one purpose of the invention is to provide an X-ray image that can reduce the burden on the user for evaluating the shape of a vertebral body.
  • the present invention provides a processing device, an X-ray image processing method, and a program.
  • an X-ray image processing device includes an image acquisition section that acquires an X-ray image in which a plurality of vertebral bodies are captured, and an X-ray image acquired by the image acquisition section.
  • an image processing unit that processes an a vertebral body region estimation unit that individually estimates a plurality of vertebral body regions; a vertebral body-specific image generation unit that generates a vertebral body-specific image including any of the plurality of vertebral body regions estimated by the vertebral body region estimation unit; , to evaluate the shape of a vertebral body from images of each vertebral body using a second trained model trained using a second teaching X-ray image that shows the anterior, central, and posterior edges of the vertebral body as teaching data. and an image generation section that generates a vertebral body shape evaluation image including the vertebral body and the evaluation position.
  • an X-ray image processing method includes the steps of: acquiring an X-ray image in which a plurality of vertebral bodies are captured; a step of individually estimating a plurality of vertebral body regions from an X-ray image using a first trained model trained using an X-ray image as training data; and a step of individually estimating a plurality of vertebral body regions from the X-ray image.
  • a program includes the steps of acquiring an X-ray image in which a plurality of vertebral bodies are captured, and a first teaching X-ray image in which a plurality of vertebral body regions are captured. a step of individually estimating a plurality of vertebral body regions from an X-ray image using a first trained model trained as training data; and a step of individually estimating a plurality of vertebral body regions from an X-ray image; The step of generating a vertebral body from each vertebral body image using the second trained model trained using the second teaching X-ray image that shows the anterior, middle, and posterior edges of the vertebral body as teaching data.
  • the method includes the steps of estimating an evaluation position for evaluating the shape, and generating a vertebral body shape evaluation image including the vertebral body and the evaluation position.
  • a plurality of vertebral body regions are individually estimated from the line image, a vertebral body-specific image containing each of the estimated vertebral body regions is generated, and a vertebral body-specific image is generated from the vertebral body-specific image using the second trained model.
  • An evaluation position for evaluating the body shape is estimated, and a vertebral body shape evaluation image including the vertebral body and the evaluation position is generated. Thereby, the user can specify the evaluation position with the aid of the evaluation position automatically estimated using the second trained model.
  • the burden on the user for evaluating the shape of the vertebral body can be reduced. Therefore, the time required to evaluate the shape of the vertebral body can be shortened. Further, by automatically estimating the evaluation position using the second learned model, variations in estimation of the evaluation position are suppressed compared to the case where the evaluation position is specified manually. In other words, the reproducibility of specifying the evaluation position is improved. Thereby, it is possible to reduce the negative influence on the evaluation of the shape of the vertebral body due to poor reproducibility of evaluation position designation.
  • FIG. 1 is a schematic diagram showing the overall configuration of an X-ray image processing device according to an embodiment.
  • FIG. 1 is a schematic diagram for explaining the configuration of an X-ray image capturing apparatus.
  • FIG. 3 is a diagram for explaining evaluation positions for evaluating the shape of a vertebral body.
  • FIG. 2 is a schematic diagram for explaining a learning method of a learning model according to an embodiment.
  • FIG. 3 is a diagram for explaining estimation of a vertebral body region and estimation of an evaluation position for evaluating the shape of a vertebral body according to one embodiment.
  • FIG. 6 is a diagram for explaining how images for each vertebral body are rotated so that the center line of a rectangular vertebral body becomes horizontal.
  • FIG. 1 is a schematic diagram showing the overall configuration of an X-ray image processing device according to an embodiment.
  • FIG. 1 is a schematic diagram for explaining the configuration of an X-ray image capturing apparatus.
  • FIG. 3 is a diagram for explaining evaluation positions for evaluating the
  • FIG. 6 is a diagram for explaining how images for each vertebral body are rotated so that the center line of a trapezoidal vertebral body becomes horizontal.
  • FIG. 3 is a diagram for explaining a vertebral body shape evaluation image according to one embodiment.
  • FIG. 3 is a diagram for explaining a whole X-ray image according to one embodiment.
  • FIG. 3 is a diagram for explaining a partial X-ray image according to an embodiment.
  • FIG. 3 is a diagram for explaining an analysis result image according to an embodiment.
  • FIG. 3 is a diagram for explaining an analysis result creation image according to an embodiment.
  • FIG. 2 is a flow diagram for explaining an X-ray image processing method according to an embodiment.
  • the configuration of an X-ray image processing apparatus 100 will be described with reference to FIGS. 1 to 13. Note that the X-ray image processing apparatus 100 is used for diagnosing the shape of the vertebral body 40 caused by a fracture of the vertebral body 40 of the subject 80 (see FIG. 2).
  • methods for determining the shape of the vertebral body 40 caused by a fracture of the vertebral body 40 from the X-ray images 10 of the thoracic and lumbar vertebrae include a quantitative evaluation method and a semi-quantitative evaluation method.
  • the QM method Quantitative Measurement
  • the QM method is known as a quantitative evaluation method.
  • the anterior edge height (A), central height (C), and Trailing edge height (P) is measured in the X-ray image 10 of the thoracic and lumbar vertebrae.
  • the presence or absence of a fracture in the vertebral body 40 is determined from the ratio of the anterior edge height (A), central height (C), and posterior edge height (P).
  • C/A which is the ratio of central height (C) to leading edge height (A)
  • C/P which is the ratio of central height (C) to trailing edge height (P).
  • A/P which is the ratio of the anterior edge height (A) to the posterior edge height (P)
  • A/P which is the ratio of the anterior edge height (A) to the posterior edge height (P)
  • A/P which is the ratio of the anterior edge height (A) to the posterior edge height (P)
  • the X-ray image processing apparatus 100 described below is used to assist the user (doctor) in determining whether the vertebral body 40 is fractured, and is not intended to determine whether or not the vertebral body 40 is fractured.
  • the X-ray image processing apparatus 100 includes an image acquisition section 1, an image processing section 2, and a storage section 3, as shown in FIG.
  • the image acquisition unit 1 is configured to acquire an X-ray image 10 that shows a plurality of vertebral bodies 40 (see FIG. 5).
  • the image acquisition unit 1 is configured to acquire the X-ray image 10 captured by the X-ray image capturing device 200 from an image server 210 such as a PACS (Picture Archiving and Communication System). There is.
  • the image acquisition unit 1 includes, for example, an input/output interface.
  • the image processing unit 2 is configured to process the X-ray image 10 acquired by the image acquisition unit 1.
  • the image processing unit 2 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and a GPU (Graphics Processing Unit). It is a computer configured to include units such as g.Unit).
  • a generation section 23 an evaluation parameter calculation section 24, a determination result input section 25, a position change input section 26, a vertebral body addition section 27, a selection section 28, a display control section 29, and an analysis result output section 30. , and a threshold value determination unit 31. Details of each functional block of the image processing section 2 will be described later.
  • the storage unit 3 is configured to store a first trained model 3a trained using a first teaching X-ray image 12a (see FIG. 4) in which a plurality of vertebral body regions 40a are shown as teaching data. has been done. Specifically, in the first trained model 3a, labels are assigned to the first teacher's X-ray image 12a in which the plurality of vertebral body regions 40a are shown and to the plurality of vertebral bodies 40 in the first teacher's X-ray image 12a. The first label image 13a is learned using the first label image 13a as teacher data. The storage unit 3 also stores a second trained model 3b trained using a second teaching X-ray image 12b (see FIG.
  • the second teacher's X-ray image 12b includes a second teacher's X-ray image 12b that shows the anterior edge 41, center 42, and rear edge 43 of the vertebral body 40; Learning is performed using a second label image 13b in which labels are added to the anterior edge 41, center 42, and posterior edge 43 of the vertebral body 40 as teacher data.
  • the storage unit 3 includes, for example, a HDD (Hard Disk Drive) or a nonvolatile memory.
  • the X-ray image capture device 200 includes an X-ray source 50, an X-ray detection section 51, an imaging device control section 52, and an imaging device image processing section 53.
  • the imaging device control section 52 is electrically connected to the X-ray source 50 and the imaging device image processing section 53.
  • the X-ray detection section 51 is electrically connected to the image processing section 53 of the imaging device.
  • the X-ray image capturing apparatus 200 generates an X-ray image 10 in which a plurality of vertebral bodies 40 are captured by capturing an image of a subject 80 in a recumbent position. Furthermore, the X-ray image capturing apparatus 200 sends the generated X-ray image 10 to the image server 210.
  • electrical connections are illustrated with broken lines, and information input and output are illustrated with solid arrows.
  • the X-ray source 50 generates X-rays by applying a high voltage.
  • the X-rays generated by the X-ray source 50 are configured to be irradiated in the direction in which the X-ray detector 51 is arranged.
  • the X-ray detection unit 51 detects the X-rays emitted from the X-ray source 50 and converts the detected X-rays into electrical signals.
  • the X-ray detection unit 51 is, for example, an FPD (Flat Panel Detector).
  • a detection signal (image signal) from the X-ray detection section 51 is sent to an image processing section 53 of the imaging device.
  • the imaging device control unit 52 is configured to control the X-ray image imaging device 200.
  • the imaging device control unit 52 includes, for example, a CPU, ROM, and RAM.
  • the image processing unit 53 of the imaging device is configured to generate the X-ray image 10 based on the detection signal sent from the X-ray detection unit 51.
  • the image processing unit 53 of the imaging device includes, for example, a processor such as a GPU or an FPGA (Field-Programmable Gate Array) configured for image processing.
  • the X-ray image 10 generated in the image processing unit 53 of the imaging device is sent to the image server 210.
  • the learning method of the first learning model 4a includes a step 110 of acquiring a first teacher's X-ray image 12a, a step 111 of acquiring a first label image 13a, and a step 111 of acquiring a first teacher's X-ray image 12a.
  • the first learning model 4a is, for example, a convolutional neural network (CNN) or partially includes a convolutional neural network.
  • CNN convolutional neural network
  • the learning method of the second learning model 4b includes step 110a of acquiring the second teacher's X-ray image 12b, step 111a of acquiring the second label image 13b, and the second teacher's X-ray image 12b and the second label image. 13b as teacher data, the second learning model 4b is trained to estimate an evaluation position for evaluating the shape of the vertebral body 40 from the second teacher X-ray image 12b.
  • the second learning model 4b is, for example, a convolutional neural network (CNN) or partially includes a convolutional neural network.
  • CNN convolutional neural network
  • the vertebral body region estimation unit 20 individually estimates a plurality of vertebral body regions 40a from the X-ray image 10 using the first learned model 3a. As a result, a vertebral body label image 120 in which the positions of a plurality of vertebral bodies 40 are specified in the X-ray image 10 is obtained.
  • the vertebral body image generation unit 21 generates a vertebral body image 130 that includes any one of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20. Specifically, the vertebral body image generation unit 21 generates a vertebral body image 130 of a predetermined size based on the center of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20. do. That is, the vertebral body image 130 has a predetermined length L1 in the vertical direction and a predetermined length L1 in the lateral direction, centered on the center of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimating unit 20. This is an image having a length L2.
  • the vertebral body image generation unit 21 generates the vertebral body image 130 so that the center line 40b of the vertebral body 40 shown in the vertebral body image 130 is horizontal. You can also rotate it. That is, instead of the upper side or the lower side of the approximately rectangular vertebral body 40 shown in FIG. The vertebral body image 130 may be rotated so that the connecting center line 40b is horizontal. As a result, even if the vertebral body 40 has a trapezoidal shape as shown in FIG. 7, for example, the vertebral body image 130 is rotated so that the vertebral body 40 is aligned in the horizontal direction. In this way, the evaluation position is estimated using the second trained model 3b for the vertebral body-specific image 130 rotated so that the center line 40b of the vertebral body 40 is horizontal. It becomes possible to improve the accuracy of
  • the position estimation unit 22 estimates an evaluation position for evaluating the shape of the vertebral body 40 from the vertebral body-specific image 130 using the second learned model 3b. . Specifically, the position estimating unit 22 detects the upper edge 41a of the front edge 41, the lower edge 41b of the front edge 41, the upper edge 42a of the center 42, the lower edge 42b of the center 42, and the rear edge 43 of the vertebral body 40.
  • the anterior edge 41 Using the second trained model 3b trained using the second teacher X-ray image 12b in which the upper edge 43a and the lower edge 43b of the posterior edge 43 are captured, the anterior edge 41
  • the positions of the upper edge 41a, the lower edge 41b of the front edge 41, the upper edge 42a of the center 42, the lower edge 42b of the center 42, the upper edge 43a of the rear edge 43, and the lower edge 43b of the rear edge 43 are estimated. Note that these positions are examples of "evaluation positions" in the claims.
  • the evaluation parameter calculation unit 24 calculates evaluation parameters for evaluating the shape of the vertebral body 40 based on the evaluation position. Specifically, as shown in FIG. 8, the evaluation parameter calculation unit 24 calculates the leading edge Calculate height (A). Furthermore, the evaluation parameter calculation unit 24 calculates the center height (C) based on the upper edge 42a of the center 42 and the lower edge 42b of the center 42. Furthermore, the evaluation parameter calculation unit 24 calculates the trailing edge height (P) based on the upper edge 43a of the trailing edge 43 and the lower edge 43b of the trailing edge 43.
  • the evaluation parameter calculation unit 24 then calculates C/A, which is the ratio between the central height (C) and the anterior edge height (A), and C/A, which is the ratio between the central height (C) and the anterior edge height (A), and the ratio between the central height (C) and the posterior edge.
  • C/P which is the ratio of the leading edge height (P) to the trailing edge height (P)
  • A/P which is the ratio of the leading edge height (A) to the trailing edge height (P
  • the image generation unit 23 generates a vertebral body shape evaluation image 140 including the vertebral body 40 and the evaluation position. Specifically, the image generation unit 23 generates a vertebral body shape evaluation image 140 that includes evaluation parameters in addition to the vertebral body 40 and the evaluation position.
  • the vertebral body shape evaluation image 140 generated by the image generation unit 23 is displayed on the display unit 101 (see FIG. 1) provided separately from the X-ray image processing device 100. Note that the display unit 101 may be provided in the X-ray image processing apparatus 100.
  • the image generation unit 23 generates a vertebral body shape evaluation image 140 that includes a whole X-ray image 141 in which a plurality of vertebral bodies 40 are captured.
  • the image generation unit 23 also generates an entire X-ray image 141 in which position markers 141a indicating predetermined positions of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20 are displayed in an overlapping manner.
  • the position mark 141a has, for example, a circular shape.
  • the predetermined position is, for example, the center of gravity of the vertebral body region 40a.
  • the image generation unit 23 generates an entire X-ray image 141 in which a plurality of vertebral bodies 40 and identification marks 141b for identifying the plurality of vertebral bodies 40 are displayed in an overlapping manner.
  • characters T2 to T12 are displayed next to the vertebral body 40 as the identification mark 141b.
  • the image generation unit 23 generates a vertebral body shape evaluation image 140 that includes a partial X-ray image 142 in which an evaluation position is displayed superimposed on an image of a predetermined vertebral body 40.
  • the image generation unit 23 generates an upper edge 41a of the front edge 41, a lower edge 41b of the front edge 41, an upper edge 42a of the center 42, a lower edge 42b of the center 42, an upper edge 43a of the rear edge 43, and an upper edge 43a of the rear edge 43.
  • a partial X-ray image 142 is generated in which the position of the lower edge 43b is displayed superimposed on the partial X-ray image 142.
  • the above position is represented by a circular marker (black circle shown in FIG. 8).
  • the image generation unit 23 generates a partial X-ray image 142 in which the identification marks 141b (T2 to T12) are displayed in an overlapping manner. For example, an identification mark 141b (T8) is displayed above the partial X-ray image 142.
  • the image generation unit 23 generates a vertebral body shape evaluation image 140 including C/A, C/P, and A/P as evaluation parameters. For example, next to the identification mark 141b (T2 to T12) that identifies the vertebral body 40, C/A, C/P, and A/P of the vertebral body 40 corresponding to the identification mark 141b are displayed. That is, the image generation unit 23 generates a list image 143 in which the identification mark 141b, C/A, C/P, and A/P are displayed in a list form.
  • the determination result input unit 25 receives a determination result by the user as to whether or not the vertebral body 40 is deformed (whether or not it is fractured). For example, the determination result is input by the user on the display unit 101 . In FIG. 8, the determination result (G0, G1, G2, G3, etc.) is input in the SQ column next to the evaluation parameter.
  • the position change input unit 26 changes the evaluation position of the vertebral body shape evaluation image 140.
  • the user selects evaluation positions (the upper edge 41a of the leading edge 41, the lower edge 41b of the leading edge 41, the upper edge 42a of the center 42, the lower edge of the center 42). Drag and drop any of the circular markers on the edge 42b, the upper edge 43a of the trailing edge 43, and the lower edge 43b of the trailing edge 43. This changes the evaluation position. Furthermore, as the evaluation position changes, the evaluation parameters are recalculated.
  • the vertebral body addition unit 27 adds the vertebral body 40 captured in the whole X-ray image 141.
  • the user uses the mouse to click on an area on the entire X-ray image 141 displayed on the display unit 101 that is not estimated by the vertebral body area estimation unit 20 to be the vertebral body area 40a.
  • a predetermined range centered on the clicked position is newly added as the vertebral body region 40a.
  • the position estimating unit 22 determines the evaluation positions (upper edge 41a of the front edge 41, lower edge 41b of the front edge 41, upper edge 42a of the center 42, The lower edge 42b of the center 42, the upper edge 43a of the trailing edge 43, and the lower edge 43b of the trailing edge 43 are estimated.
  • the image generation unit 23 generates a partial X-ray image 142 for the vertebral body 40 added by the vertebral body addition unit 27, in which the evaluation position is displayed superimposed.
  • the evaluation parameter calculation unit 24 calculates C/A, C/P, and A/P as evaluation parameters for the added vertebral body 40.
  • the image generation unit 23 generates a list image 143 including the evaluation parameters of the added vertebral body 40.
  • the user clicks the vertebral body 40 corresponding to T12 with the mouse.
  • the evaluation parameter of the vertebral body 40 corresponding to T12 is calculated, and the vertebral body shape evaluation image 140 including the calculated evaluation parameter is generated.
  • the selection unit 28 selects the position marker 141a on the entire X-ray image 141. Then, when the position mark 141a is selected by the selection unit 28, the display control unit 29 causes the display unit 101 to display a partial X-ray image 142 corresponding to the selected position mark 141a.
  • the display control unit 29 displays the whole X-ray image 141 and the partial X-ray image 142 corresponding to the selected vertebral body 40 side by side on the display unit 101, or displays the whole X-ray image 141 and the selected vertebral body 40 side by side.
  • the partial X-ray image 142 corresponding to the body 40 is switched and displayed on the display unit 101.
  • a whole X-ray image 141 and a partial X-ray image 142 are displayed side by side in the horizontal direction.
  • a list image 143 is also displayed next to the partial X-ray image 142. Furthermore, as shown in FIG.
  • the display of the entire X-ray image 141 is changed to the selected position, as shown in FIG.
  • the display may be switched to a partial X-ray image 142 and a list image 143 corresponding to the position marker 141a.
  • a switching button (not shown) with the mouse while the partial X-ray image 142 and evaluation parameters are displayed, the state is switched to a state where only the whole X-ray image 141 shown in FIG. 9 is displayed. .
  • the user clicks a position marker 141a other than T8 on the entire X-ray image 141 with the mouse while the partial X-ray image 142 at T8 is displayed on the display unit 101.
  • the clicked position mark 141a is selected by the selection unit 28, and the display control unit 29 causes the display unit 101 to display the partial X-ray image 142 corresponding to the clicked position mark 141a.
  • the image generation unit 23 generates a whole image on which a selection mark 141c indicating the vertebral body 40 selected by the selection unit 28 is superimposed on the whole X-ray image 141.
  • An X-ray image 141 is generated.
  • the image generation unit 23 generates a whole X-ray image 141 in which a selection mark 141c is displayed superimposed on the position mark 141a of the vertebral body 40 selected by the selection unit 28 on the whole X-ray image 141.
  • the selection mark 141c is a circle along the outer edge of the position mark 141a.
  • the color of the selection mark 141c and the color of the position mark 141a are different.
  • the color of the identification mark 141b of the vertebral body 40 selected by the selection unit 28 is also different from the color of the identification mark 141b of the vertebral body 40 that is not selected.
  • the T8 vertebral body 40 has been selected, and the letter T8 is shown in bold to indicate that it is different from the others.
  • T8 which is the identification mark 141b of the selected vertebral body 40, is displayed above the partial X-ray image 142.
  • the evaluation parameters of the selected vertebral body 40 are surrounded by a square frame.
  • the vertebral body shape evaluation image 140 also includes a slider 144a that adjusts the sharpness of the entire X-ray image 141 (partial X-ray image 142), and a slider 144b that adjusts the contrast. Furthermore, the vertebral body shape evaluation image 140 displays the ID (Patient ID) of the subject 80 and the name (Patient Name) of the subject 80.
  • the analysis result output unit 30 instructs to output the analysis result of the shape of the vertebral body 40.
  • a report button 145 is displayed at the upper left of the vertebral body shape evaluation image 140 displayed on the display unit 101.
  • the image generation unit 23 is instructed to output the analysis results by the analysis result output unit 30, as shown in FIG.
  • An analysis result image 150 is generated that includes evaluation parameters (C/A, C/P, and A/P) for each of the above.
  • Analysis result image 150 is displayed on display unit 101.
  • the whole X-ray image 141 and the list image 143 are displayed side by side in the horizontal direction on the display unit 101. Further, along with the evaluation parameters, the determination results (G0, G1, G2, G3, etc.) are also displayed.
  • the image generation unit 23 generates a whole An analysis result image 150 is generated that includes the line image 141 and the evaluation parameter associated with the identification mark 141b.
  • the analysis result image 150 also includes the ID of the analysis result (Study ID), the date and time of analysis (Study Date), the ID of the patient 80 (Patient ID), the name of the patient 80 (Patient Name), gender, Date of birth etc. will be displayed.
  • an analysis result image 150 is generated that includes the partial X-ray image 142 selected by the user.
  • an analysis result creation image 160 user interface
  • a partial X-ray image selection section 161 for selecting a partial X-ray image 142 displayed in the analysis result image 150 is displayed together with the analysis result image 150.
  • four partial X-ray image selection sections 161 are displayed.
  • an identification mark 141b (T2 to T12) is displayed at the lower right part of the partial X-ray image 142.
  • the analysis result creation image 160 also displays a comment input section 162 for inputting comments, a user name input section 163 for inputting the user's name, and a destination selection section 164 for selecting a destination for the analysis results. be done. Furthermore, a send button 165 is displayed on the analysis result creation image 160. When the user clicks the send button 165 with a mouse on the display unit 101, the analysis result image 150 is sent to the image server 210.
  • the threshold determination unit 31 determines whether the deformation of the vertebral body 40 exceeds a predetermined threshold based on the evaluation parameter. Then, based on the determination result of the threshold value determination unit 31, the image generation unit 23 changes the display mode of at least one of the identification mark 141b and the evaluation parameter to the vertebral body 40 exceeding the predetermined threshold value and the predetermined threshold value. vertebral body 40 that does not exceed . For example, in the analysis result image 150 shown in FIGS. 11 and 12 (the vertebral body shape evaluation image 140 shown in FIG. 8), is either C/A or C/P less than 0.8?
  • the color of the evaluation parameter of the vertebral body 40 whose A/P is less than 0.75 is different from the color of the evaluation parameter of the other vertebral bodies 40.
  • the identification mark 141b indicates that the C/A of T10 is less than 0.8 (0.75)
  • the color of the evaluation parameter (C/A) of the vertebral body 40 of T9 is different from that of the evaluation parameter of the other vertebral body 40.
  • the color is different.
  • the evaluation parameters of T9 are expressed in bold.
  • the color of the identification mark 141b of the vertebral body 40 that exceeds the predetermined threshold may be made different from the color of the identification mark 141b of the vertebral body 40 that does not exceed the predetermined threshold.
  • the image acquisition unit 1 acquires an X-ray image 10 showing a plurality of vertebral bodies 40 from an image server 210 such as PACS.
  • step 301 the vertebral body region estimation unit 20 individually estimates a plurality of vertebral body regions 40a from the X-ray image 10 using the first learned model 3a.
  • the vertebral body-specific image generation unit 21 generates a vertebral body-specific image 130 that includes any one of the plurality of estimated vertebral body regions 40a.
  • step 303 the position estimating unit 22 estimates an evaluation position for evaluating the shape of the vertebral body 40 from the vertebral body-specific image 130 using the second trained model 3b. Furthermore, the evaluation parameter calculation unit 24 calculates evaluation parameters based on the evaluation position.
  • the image generation unit 23 generates a vertebral body shape evaluation image 140 including the vertebral body 40 and the evaluation position. Specifically, the image generation unit 23 generates a whole X-ray image 141, a partial X-ray image 142 in which evaluation positions are displayed in an overlapping manner, and a list image 143.
  • the evaluation parameter calculation unit 24 calculates the evaluation parameter based on the changed evaluation position in step 305a.
  • step 306 when the vertebral body adding unit 27 adds the vertebral body 40 captured in the whole X-ray image 141, in step 306a, the position estimating unit 22 adds the vertebral body added to the vertebral body adding unit 27. 40, the evaluation position is estimated. Furthermore, the image generation unit 23 generates a partial X-ray image 142 for the vertebral body 40 added by the vertebral body addition unit 27, in which the evaluation position is displayed in an overlapping manner. Furthermore, the evaluation parameter calculation unit 24 calculates evaluation parameters based on the added evaluation position.
  • step 307 when the analysis result output unit 30 is instructed to output the analysis result of the shape of the vertebral body 40, in step 307a, the image generation unit 23 generates the entire X-ray image 141 and the portion selected by the user. An analysis result image 150 including an X-ray image 142 and a list image 143 is generated.
  • a plurality of vertebral body regions 40a are individually estimated from the X-ray image 10 using the first trained model 3a, and each of the estimated plurality of vertebral body regions 40a is included.
  • a vertebral body image 130 is generated, and an evaluation position for evaluating the shape of the vertebral body 40 is estimated from the vertebral body image 130 using the second trained model 3b, and an X-ray image 10 of the vertebral body 40 is generated.
  • a vertebral body shape evaluation image 140 including the evaluation position and the evaluation position is generated.
  • the time required to evaluate the shape of the vertebral body 40 can be shortened. Further, by automatically estimating the evaluation position using the second learned model 3b, variations in estimation of the evaluation position are suppressed compared to the case where the evaluation position is specified manually. In other words, the reproducibility of specifying the evaluation position is improved. Thereby, it is possible to reduce the adverse effect on the evaluation of the shape of the vertebral body 40 due to poor reproducibility of evaluation position designation.
  • the image processing unit 2 further includes the evaluation parameter calculation unit 24 that calculates evaluation parameters for evaluating the shape of the vertebral body 40 based on the evaluation position, and the image generation unit 23
  • the evaluation parameter calculation unit 24 calculates evaluation parameters for evaluating the shape of the vertebral body 40 based on the evaluation position
  • the image generation unit 23 In addition to the X-ray image 10 of the vertebral body 40 and the evaluation position, a vertebral body shape evaluation image 140 including evaluation parameters is generated.
  • the evaluation parameters are automatically calculated, thereby saving the user's effort in calculating the evaluation parameters.
  • the burden on the user for evaluating the shape of the vertebral body 40 can be further reduced.
  • the image generation unit 23 generates the vertebral body shape evaluation image 140 including C/A, C/P, and A/P as evaluation parameters. Thereby, the shape of the vertebral body 40 can be appropriately evaluated based on C/A, C/P, and A/P.
  • the image processing unit 2 further includes a position change input unit 26 that changes the evaluation position of the vertebral body shape evaluation image 140.
  • a position change input unit 26 that changes the evaluation position of the vertebral body shape evaluation image 140.
  • the vertebral body image generation unit 21 generates a vertebral body of a predetermined size based on the center of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20.
  • a separate image 130 is generated. Thereby, it is possible to easily generate a vertebral body-specific image 130 that includes the entire vertebral body region 40a.
  • the image generation unit 23 generates an entire X-ray image 141 in which a plurality of vertebral bodies 40 are captured, and a portion in which the evaluation position is displayed superimposed on the image of a predetermined vertebral body 40.
  • a vertebral body shape evaluation image 140 including an X-ray image 142 is generated. Thereby, the evaluation position is displayed superimposed on the partial X-ray image 142, so that the evaluation position in the vertebral body 40 can be easily visually recognized.
  • the image processing unit 2 further includes the vertebral body adding unit 27 that adds the vertebral body 40 captured in the whole X-ray image 141.
  • the position estimation unit 22 estimates the evaluation position for the vertebral body 40 added to the vertebral body addition unit 27, and the image generation unit 23 estimates the evaluation position for the vertebral body 40 added to the vertebral body addition unit 27.
  • a partial X-ray image 142 in which evaluation positions are displayed in an overlapping manner is generated. Thereby, the vertebral body region 40a that was not estimated by the vertebral body region estimating unit 20 can be added, so the shapes of all the vertebral bodies 40 can be evaluated.
  • the image processing unit 2 includes a selection unit 28 that selects the position mark 141a on the entire X-ray image 141, and a position mark 141a when the selection unit 28 selects the position mark 141a. It further includes a display control section 29 that causes the display section 101 to display a partial X-ray image 142 corresponding to the marker 141a.
  • the image generation unit 23 when the analysis result output unit 30 instructs the image generation unit 23 to output the analysis results, the image generation unit 23 generates the whole X-ray image 141 in which the plurality of vertebral bodies 40 are captured, and the An analysis result image 150 including evaluation parameters for each of the bodies 40 is generated. Thereby, after the user determines that the evaluation position is appropriate, the user can easily view the analysis result image 150 by inputting a command to output the analysis result of the shape of the vertebral body 40. .
  • the image generation unit 23 when the analysis result output unit 30 instructs the image generation unit 23 to output the analysis results, the image generation unit 23 generates the whole X-ray image 141 in which the plurality of vertebral bodies 40 are captured, and the An analysis result image 150 is generated that includes evaluation parameters for each of the body 40 and the partial X-ray image 142 selected by the user. This allows the user to visually recognize the partial X-ray image 142 of the vertebral body 40 of interest, in addition to the entire X-ray image 141 and the evaluation parameters.
  • the image generation unit 23 generates the whole X-ray image 141 in which the plurality of vertebral bodies 40 and the identification marks 141b for identifying the plurality of vertebral bodies 40 are displayed in an overlapping manner, and the identification marks 141b.
  • An analysis result image 150 including the associated evaluation parameters is generated. Thereby, the user can easily recognize the correspondence between the vertebral bodies 40 in the whole X-ray image 141 and the evaluation parameters.
  • the image generation unit 23 changes the display mode of at least one of the identification mark 141b and the evaluation parameter between the vertebral bodies 40 that exceed a predetermined threshold value and the vertebral bodies 40 that exceed a predetermined threshold value.
  • the vertebral bodies 40 and 40 are different from each other. Thereby, the user can easily identify the vertebral bodies 40 that exceed the predetermined threshold and the vertebral bodies 40 that do not exceed the predetermined threshold.
  • the vertebral body shape evaluation image 140 includes both an evaluation position and an evaluation parameter, but the present invention is not limited to this.
  • the vertebral body shape evaluation image 140 may not include evaluation parameters.
  • the evaluation positions are the upper edge 41a of the anterior edge 41, the lower edge 41b of the anterior edge 41, the upper edge 42a of the center 42, the lower edge 42b of the center 42, and the posterior edge of the vertebral body image 130.
  • the upper edge 43a of 43 and the lower edge 43b of trailing edge 43 are estimated, the present invention is not limited to this.
  • a position other than the above-mentioned position may be estimated as the evaluation position.
  • the vertebral body image generation unit 21 generates a vertebral body image 130 of a predetermined size based on the center of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20.
  • a vertebral body image 130 of a predetermined size may be generated based on a position other than the center of each of the plurality of vertebral body regions 40a estimated by the vertebral body region estimation unit 20.
  • the image processing section 2 includes the vertebral body addition section 27, but the present invention is not limited to this.
  • the image processing section 2 may not include the vertebral body addition section 27.
  • the evaluation parameters of only the vertebral body 40 estimated by the vertebral body area estimation unit 20 are calculated and displayed.
  • the analysis result image 150 includes the partial X-ray image 142 selected by the user, but the present invention is not limited to this.
  • the analysis result image 150 may not include the partial X-ray image 142.
  • the color of at least one of the identification mark 141b and the evaluation parameter is different between the vertebral bodies 40 that exceed a predetermined threshold value and the vertebral bodies 40 that do not exceed a predetermined threshold value.
  • the present invention is not limited thereto.
  • at least one of the identification mark 141b and the evaluation parameter of the vertebral body 40 exceeding a predetermined threshold may be surrounded by a frame line.
  • the image processing unit includes: Vertebral body region estimation for individually estimating the plurality of vertebral body regions from the X-ray images using a first trained model trained using a first teacher X-ray image showing a plurality of vertebral body regions as training data.
  • a vertebral body-specific image generation unit that generates a vertebral body-specific image including any of the plurality of vertebral body regions estimated by the vertebral body region estimation unit; Evaluating the shape of the vertebral body from the vertebral body-specific images using a second trained model trained using a second teaching X-ray image showing the anterior edge, center, and posterior edge of the vertebral body as teaching data.
  • a position estimating unit that estimates an evaluation position for An X-ray image processing device, comprising: an image generation unit that generates a vertebral body shape evaluation image including the vertebral body and the evaluation position.
  • the image processing unit includes: further comprising an evaluation parameter calculation unit that calculates an evaluation parameter for evaluating the shape of the vertebral body based on the evaluation position,
  • the X-ray image processing device according to item 1, wherein the image generation unit generates the vertebral body shape evaluation image including the evaluation parameter in addition to the vertebral body and the evaluation position.
  • the position estimation unit includes an upper edge of the anterior edge, a lower edge of the anterior edge, an upper edge of the center, a lower edge of the center, an upper edge of the posterior edge, and a lower edge of the posterior edge of the vertebral body.
  • the evaluation parameter calculation unit includes: Calculate the leading edge height based on the upper edge of the leading edge and the lower edge of the leading edge estimated by the position estimation unit, and calculate the leading edge height based on the upper edge of the center and the lower edge of the center, calculating a center height; calculating a trailing edge height based on the upper edge of the trailing edge and the lower edge of the trailing edge;
  • the evaluation parameters for evaluating the shape of the vertebral body include a first ratio that is the ratio between the central height and the anterior edge height, a second ratio that is the ratio between the central height and the posterior edge height, and , calculating a third ratio that is a ratio between the leading edge height and the trailing edge height;
  • the image generation unit includes the vertebral body, an upper edge of the anterior edge, a lower edge of the anterior edge
  • (Item 4) The X-ray image processing device according to any one of items 1 to 3, wherein the image processing unit further includes a position change input unit that changes the evaluation position of the vertebral body shape evaluation image.
  • the image generation unit includes a whole X-ray image in which the plurality of vertebral bodies are captured, and a partial X-ray image in which the evaluation position is displayed superimposed on a predetermined image of the vertebral body.
  • the X-ray image processing device according to any one of items 1 to 5, which generates a body shape evaluation image.
  • the image processing unit further includes a vertebral body addition unit that adds the vertebral body captured in the whole X-ray image,
  • the position estimation unit estimates the evaluation position for the vertebral body added to the vertebral body addition unit,
  • the X-ray image processing device according to item 6, wherein the image generation unit generates the partial X-ray image in which the evaluation position is displayed superimposed on the vertebral body added to the vertebral body addition unit.
  • the image generation unit generates the entire X-ray image in which position markers indicating predetermined positions of each of the plurality of vertebral body regions estimated by the vertebral body region estimation unit are displayed in an overlapping manner
  • the image processing unit includes: a selection unit that selects the position marker on the overall X-ray image;
  • Device includes: a selection unit that selects the position marker on the overall X-ray image;
  • the image processing unit includes: an evaluation parameter calculation unit that calculates an evaluation parameter for evaluating the shape of the vertebral body based on the evaluation position estimated by the position estimation unit; further comprising an analysis result output unit that commands output of an analysis result of the shape of the vertebral body, When outputting the analysis results is instructed by the analysis result output unit, the image generation unit generates the whole X-ray image in which the plurality of vertebral bodies are captured, and the evaluation parameters for each of the plurality of vertebral bodies.
  • the X-ray image processing device according to any one of items 6 to 8, which generates an analysis result image including.
  • the image generation unit When outputting the analysis results is instructed by the analysis result output unit, the image generation unit generates the whole X-ray image in which the plurality of vertebral bodies are captured, and the evaluation parameters for each of the plurality of vertebral bodies. 10.
  • the X-ray image processing device according to item 9, further generating the analysis result image including the partial X-ray image selected by the user.
  • the image generation unit includes the entire X-ray image in which the plurality of vertebral bodies and identification marks for identifying the plurality of vertebral bodies are displayed in an overlapping manner, and the evaluation parameter associated with the identification mark. , the X-ray image processing device according to item 10, which generates the analysis result image.
  • the image processing unit further includes a threshold determination unit that determines whether the shape of the vertebral body exceeds a predetermined threshold based on the evaluation parameter,
  • the image generation section changes the display mode of at least one of the identification mark and the evaluation parameter to the vertebral body exceeding the predetermined threshold and the predetermined one based on the determination result of the threshold determination section.
  • the X-ray image processing device according to any one of items 9 to 11, wherein the X-ray image processing device is made to differ depending on the vertebral body that does not exceed a threshold value.
  • (Item 13) obtaining an X-ray image showing a plurality of vertebral bodies; individually estimating the plurality of vertebral body regions from the X-ray images using a first trained model trained using a first teaching X-ray image showing a plurality of vertebral body regions as training data; generating a vertebral body-specific image including any of the estimated plurality of vertebral body regions; Evaluating the shape of the vertebral body from the vertebral body-specific images using a second trained model trained using a second teaching X-ray image showing the anterior edge, center, and posterior edge of the vertebral body as teaching data.
  • estimating an evaluation position for An X-ray image processing method comprising: generating a vertebral body shape evaluation image including the vertebral body and the evaluation position.
  • (Item 14) obtaining an X-ray image showing a plurality of vertebral bodies; individually estimating the plurality of vertebral body regions from the X-ray images using a first trained model trained using a first teaching X-ray image showing a plurality of vertebral body regions as training data; generating a vertebral body-specific image including any of the estimated plurality of vertebral body regions; Evaluating the shape of the vertebral body from the vertebral body-specific images using a second trained model trained using a second teaching X-ray image showing the anterior edge, center, and posterior edge of the vertebral body as teaching data.
  • estimating an evaluation position for A program comprising: generating a vertebral body shape evaluation image including the vertebral body and the evaluation position.

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