JP2019103752A - Medical image processing apparatus, x-ray ct apparatus, and medical image processing program - Google Patents

Abstract

To improve the visibility of ribs.SOLUTION: A medical image processing apparatus according to the embodiment comprises an acquisition unit, an extraction unit, a determination unit, a generation unit, and a display control unit. The acquisition unit acquires volume data concerning a plurality of ribs. The extraction unit extracts the core lines for each of the plurality of ribs. The determination unit determines, for each of the plurality of ribs, a display range which inclines along a tilt of the core line to the backbone and includes the rib. The generation unit generates, for each of the display ranges, a display image indicative of the respective rib which is included into the display range from a direction orthogonal to the inclination of the display range. The display control unit causes the display image to be displayed on a display unit.SELECTED DRAWING: Figure 1

Description

  Embodiments of the present invention relate to a medical image processing apparatus, an X-ray CT apparatus, and a medical image processing program.

  Conventionally, in diagnosis of fractures of ribs, X-ray images collected by an X-ray diagnostic apparatus, VR (Volume Rendering) images acquired by an X-ray CT (Computed Tomography) apparatus, MPR (Multi Planer Reconstruction) images, etc. It is done. Further, in the diagnosis of fractures of ribs, a developed view is also used as an image processing method for displaying drawn bones in a well-listed manner. For example, the developed view of the ribs is a view in which the ribs on both sides of the spine are respectively developed to the left and right, and supports observation of the entire ribs in a single image. As a result, the observer can easily observe cracks, abnormalities and the like for the entire rib.

JP, 2009-005840, A JP, 2008-029798, A JP 2004-174232 A

  The problem to be solved by the present invention is to improve the visibility of ribs.

  The medical image processing apparatus according to the embodiment includes an acquisition unit, an extraction unit, a determination unit, a generation unit, and a display control unit. An acquisition part acquires volume data about a plurality of ribs. The extraction unit extracts core lines of the plurality of ribs. The determination unit tilts along the inclination of the core line with respect to the spine and determines a display range including the ribs for each of the plurality of ribs. The generation unit generates, for each of the display ranges, a display image indicating ribs included in the display range in a direction orthogonal to the inclination of the display range. The display control unit causes the display unit to display the display image.

FIG. 1 is a view showing an example of the arrangement of a medical image processing apparatus according to the first embodiment. FIG. 2 is a diagram for explaining an example of core line extraction processing by the extraction function according to the first embodiment. FIG. 3A is a view for explaining an example of core line extraction processing by the extraction function according to the first embodiment; FIG. 3B is a view for explaining an example of core line extraction processing by the extraction function according to the first embodiment; FIG. 4 is a diagram for explaining an example of determination of the display range by the determination function according to the first embodiment. FIG. 5 is a diagram illustrating an example of generation of a display image by the generation function according to the first embodiment. FIG. 6 is a view showing a fluoroscopic image generated by the generation function according to the first embodiment. FIG. 7A is a view showing a display example of a display image by the control function according to the first embodiment. FIG. 7B is a view showing a display example of a display image by the control function according to the first embodiment. FIG. 8A is a diagram for describing an example of generation of an MPR image by the generation function according to the first embodiment. FIG. 8B is a diagram for describing an example of generation of a display image by the generation function according to the first embodiment. FIG. 9 is a diagram for describing an example of generation of a display image by the generation function according to the first embodiment. FIG. 10 is a diagram for describing an example of generation of a display image by the generation function according to the first embodiment. FIG. 11 is a flowchart showing the processing procedure of the medical image processing apparatus according to the first embodiment. FIG. 12A is a diagram for describing an example of processing by the generation function according to the second embodiment. FIG. 12B is a diagram for describing an example of processing by the generation function according to the second embodiment. FIG. 13 is a view showing an example of a display image generated by the generation function according to the second embodiment. FIG. 14 is a view showing an example of a display image generated by the generation function according to the second embodiment. FIG. 15 is a view showing an example of the arrangement of an X-ray CT apparatus according to the third embodiment.

  Hereinafter, embodiments of a medical image processing apparatus, an X-ray CT apparatus, and a medical image processing program according to the present application will be described in detail with reference to the attached drawings. The medical image processing apparatus, the X-ray CT apparatus, and the medical image processing program according to the present application are not limited by the embodiments described below.

First Embodiment
First, the first embodiment will be described. In the first embodiment, an example of a medical image processing apparatus according to the present application will be described. FIG. 1 is a diagram showing an example of the configuration of a medical image processing apparatus 300 according to the first embodiment. As shown in FIG. 1, the medical image processing apparatus 300 is connected to an X-ray CT (Computed Tomography) apparatus 100 and an image storage apparatus 200 via a network 400. The configuration shown in FIG. 1 is merely an example, and various devices such as a terminal device are connected to the network 400 in addition to the X-ray CT apparatus 100, the image storage apparatus, and the medical image processing apparatus 300 shown in the drawings. It may be.

  The X-ray CT apparatus 100 collects CT image data of a subject. Specifically, the X-ray CT apparatus 100 pivotally moves the X-ray tube and the X-ray detector around the subject substantially, detects X-rays transmitted through the subject, and collects projection data. Then, the X-ray CT apparatus 100 generates three-dimensional CT image data based on the acquired projection data. For example, the X-ray CT apparatus 100 collects projection data of a region including a plurality of ribs of a subject to generate three-dimensional CT image data. In addition, the X-ray CT apparatus 100 transmits the generated CT image data to the image storage apparatus 200 and the medical image processing apparatus 300.

  The image storage device 200 stores image data collected by various medical image diagnostic devices. For example, the image storage device 200 is realized by computer equipment such as a server device. In the present embodiment, the image storage apparatus 200 acquires CT image data from the X-ray CT apparatus 100 via the network 400, and stores the acquired CT image data in a storage circuit provided inside or outside the apparatus. Further, in response to a request from the medical image processing apparatus 300, the image storage apparatus 200 transmits the CT image data stored in the storage circuit to the medical image processing apparatus 300.

  The medical image processing apparatus 300 acquires CT image data from the X-ray CT apparatus 100 and the image storage apparatus 200 via the network 400, and processes the acquired CT image data. For example, the medical image processing apparatus 300 is realized by computer equipment such as a workstation. In the present embodiment, the medical image processing apparatus 300 acquires CT image data from the X-ray CT apparatus 100 or the image storage apparatus 200 via the network 400, and performs various image processing on the acquired CT image data. Then, the medical image processing apparatus 300 displays a medical image after image processing, an analysis result obtained by the image processing, and the like on a display or the like.

  As shown in FIG. 1, the medical image processing apparatus 300 includes a communication interface 310, a storage circuit 320, an input interface 330, a display 340, and a processing circuit 350.

  The communication interface 310 is connected to the processing circuit 350, and controls transmission and communication of various data performed with the X-ray CT apparatus 100 or the image storage apparatus 200 connected via the network 400. For example, the communication interface 310 is realized by a network card, a network adapter, an NIC (Network Interface Controller) or the like. In the present embodiment, the communication interface 310 receives CT image data from the X-ray CT apparatus 100 or the image storage apparatus 200, and outputs the received CT image data to the processing circuit 350. Here, the communication interface 310 can also receive real-time medical image data collected by the X-ray CT apparatus 100 and output it to the processing circuit 350.

  The storage circuit 320 is connected to the processing circuit 350 and stores various data. For example, the storage circuit 320 is realized by a semiconductor memory element such as a random access memory (RAM), a flash memory, a hard disk, an optical disk, or the like. In the present embodiment, the storage circuit 320 stores CT image data received from the X-ray CT apparatus 100 or the image storage apparatus 200. For example, the storage circuit 320 stores CT image data and the like including a plurality of ribs collected by the X-ray CT apparatus.

  The memory circuit 320 also stores various information used for the processing of the processing circuit 350, the processing result of the processing circuit 350, and the like. For example, the storage circuit 320 stores a display image or the like generated by the processing circuit 350. The display image will be described later.

  The input interface 330 includes a track ball for performing various settings and the like, a switch button, a mouse, a keyboard, a touch pad for performing an input operation by touching the operation surface, a touch screen in which a display screen and a touch pad are integrated, It is realized by a non-contact input circuit using an optical sensor, an audio input circuit, and the like.

  The input interface 330 is connected to the processing circuit 350, converts an input operation received from the operator into an electrical signal, and outputs the electrical signal to the processing circuit 350. In the present specification, the input interface 330 is not limited to one having physical operation parts such as a mouse and a keyboard. For example, an electrical signal processing circuit that receives an electrical signal corresponding to an input operation from an external input device provided separately from the device and outputs the electrical signal to the control circuit is also included in the example of the input interface.

  The display 340 is connected to the processing circuit 350, and displays various information and various images output from the processing circuit 350. For example, the display 340 is realized by a liquid crystal monitor, a CRT (Cathode Ray Tube) monitor, a touch panel, or the like. For example, the display 340 displays a graphical user interface (GUI) for receiving an instruction from the operator, various display images, and various processing results by the processing circuit 350.

  The processing circuit 350 controls each component of the medical image processing apparatus 300 according to the input operation received from the operator via the input interface 330. For example, the processing circuit 350 is implemented by a processor. In the present embodiment, the processing circuit 350 stores the CT image data output from the communication interface 310 in the storage circuit 320. The processing circuit 350 also reads CT image data from the storage circuit 320 and causes the display 340 to display a display image generated from the read CT image data. Further, the processing circuit 350 executes various analysis processes on the CT image data, and causes the display 340 to display the analysis result.

  Based on such a configuration, the medical image processing apparatus 300 according to the present embodiment makes it possible to improve the visibility of each rib with respect to a plurality of ribs. Specifically, the medical image processing apparatus 300 determines a display area based on the core line for each rib with respect to a plurality of ribs, and displays a display image for each of the determined display areas to obtain each rib. Make it possible to improve the visibility of

  The processing circuit 350 according to the first embodiment executes a control function 351, an extraction function 352, a determination function 353, and a generation function 354 as shown in FIG. Here, for example, each processing function executed by the control function 351, the extraction function 352, the determination function 353, and the generation function 354 which are components of the processing circuit 350 shown in FIG. 1 is stored in the form of a computer executable program. It is recorded in the circuit 320. The processing circuit 350 is a processor that realizes the function corresponding to each program by reading each program from the memory circuit 320 and executing it. In other words, the processing circuit 350 in the state where each program is read out has the respective functions shown in the processing circuit 350 of FIG. The control function 351 described in the present embodiment is an example of an acquisition unit and a display control unit described in the claims. Moreover, the extraction function 352 is an example of the extraction part described in the claim. Further, the determination function 353 is an example of the determination unit described in the claims. The generation function 354 is an example of a generation unit described in the claims.

  The control function 351 executes overall control of the medical image processing apparatus 300. For example, the control function 351 acquires CT image data (volume data) from the X-ray CT apparatus 100 or the image storage apparatus 200 via the communication interface 310. As an example, the control function 351 acquires volume data including a plurality of ribs. Then, the control function 351 stores the acquired volume data in the storage circuit 320. Further, the control function 351 controls to display a display image generated from volume data by various image processing on the display 340. Further, the control function 351 controls the display 340 to display information based on the analysis result of ribs included in the volume data.

  The extraction function 352 extracts a plurality of rib structures. Specifically, the extraction function 352 extracts the structure of a plurality of ribs included in the volume data acquired by the control function 351. In addition, the extraction function 352 extracts core lines of a plurality of ribs. For example, the extraction function 352 extracts core lines of a plurality of ribs included in the volume data acquired by the control function 351.

  Hereinafter, core line extraction processing by the extraction function 352 will be described with reference to FIGS. 2, 3A, and 3B. FIGS. 2, 3A, and 3B are diagrams for explaining an example of core line extraction processing by the extraction function 352 according to the first embodiment. Here, in FIG. 3A, the spine and one rib are schematically shown, and each rectangle shown in a lattice shape indicates a voxel. Moreover, FIG. 3B shows the short-axis cross section of a rib.

  The extraction function 352 extracts a core line of each rib from volume data including a plurality of ribs in the subject. For example, as illustrated in FIG. 2, the extraction function 352 extracts the core L1 of a rib. Here, the extraction function 352 extracts core lines for all ribs included in the volume data. For example, when the volume data includes all of the left and right ribs from the first rib to the 12th rib, the extraction function 352 extracts a core line for all ribs from the first rib to the 12th rib. Hereinafter, an example of core line extraction will be described.

  First, the extraction function 352 extracts voxels corresponding to bone in volume data based on CT values. Then, the extraction function 352 specifies a bone region from the discreteness (continuity) of the extracted voxels. For example, the extraction function 352 extracts voxels having a CT value “400 to 1000”, and specifies an area where voxels are continuous among the extracted voxels as a bone area. For example, the extraction function 352 determines the CT value to “400 to 1000” by sequentially determining the CT values of surrounding voxels starting from the voxel (for example, voxel V1 in FIG. 3A) included in the extracted voxel Identify continuous regions of voxels.

  Thus, the extraction function 352 extracts voxels of the spine area and the calcaneus area as shown in FIG. 3A, for example. In addition, as a method of identifying a spine region and a rib region from the identified bone region, for example, a method using an anatomical feature can be mentioned. For example, the extraction function 352 extracts a spine area and a rib area from the identified bone area based on anatomical features of the spine and ribs (for example, the form and connection relationship of each bone).

  Then, the extraction function 352 extracts a core line based on the short-axis cross section along the traveling direction 51 of the extracted rib area. For example, as shown in FIG. 3B, the extraction function 352 uses volume data to generate a short-axis cross-sectional area R1 of a rib passing the voxel V1. Then, the extraction function 352 performs elliptical approximation processing on the generated short-axis cross-sectional area R1 to make the short-axis cross-sectional area R1 an ellipse 52, and extracts the center 53. The extraction function 352 sequentially performs generation of the short-axis cross-sectional area described above and extraction of the center by the elliptical approximation processing for each voxel along the traveling direction 51 to obtain the short-axis cross-sectional area along the traveling direction 51. Extract the centers in order. For example, the extraction function 352 generates a short-axis cross-sectional area of a rib passing through the voxel V2 shown in FIG. 3A, and extracts the center by an elliptical approximation process. The extraction function 352 extracts the core line of the rib by connecting the centers of the short-axis cross-sectional area extracted along the traveling direction 51.

  The extraction function 352 extracts the core line of each rib by executing the above-described extraction process on all ribs included in the volume data. In addition, core line extraction of a rib is not restricted to an above-described process, Arbitrary methods can be used. For example, the extraction function 352 can also extract a core line by performing a thinning process on the extracted rib area.

  Returning to FIG. 1, the determination function 353 determines a display range based on the core line for each of a plurality of ribs. Specifically, the determination function 353 inclines along the inclination of the core with respect to the spine, and determines the range including the ribs as the display range. More specifically, the determination function 353 inclines along the inclination of the ribs from the spine side to the sternal side, and determines the range including the entire ribs as the display range. FIG. 4 is a diagram for describing an example of determination of a display range by the determination function 353 according to the first embodiment. For example, as illustrated in FIG. 4, the determination function 353 is inclined along the inclination of the core L1 with respect to the spine and determines a range R2 including the ribs of the core L1 as the display range of the ribs.

  Here, the determination function 353 determines the display range for each of the first rib to the 12th rib so that the entire rib is included. Specifically, the determination function 353 determines a three-dimensional range including the end on the spine side to the end on the sternum side for each rib. That is, the range R2 shown in FIG. 4 is a three-dimensional region extended in the depth direction of the figure so as to include the entire rib from the end on the spine side to the end on the sternum side.

  Here, when the volume data includes left and right ribs, and the core lines of the left and right ribs are extracted by the extraction function 352, the determination function 353 determines the display range for the ribs that are paired on the left and right with the spine at the center. . For example, in the ribs shown in FIG. 4, when the core line is extracted also for the right rib corresponding to the left rib included in the range R2, the determining function 353 is a range such that the entire corresponding right rib is included. A three-dimensional area expanded in the depth direction of the figure is determined as the display range of R2.

  As described above, the determination function 353 determines the display range for each rib. For example, when the volume data includes all the right and left ribs from the first rib to the twelfth rib, the determination function 353 determines the display range for each of the 12 pairs of left and right ribs from the first rib to the twelfth rib. . Since the display range determined by the determination function 353 is a region inclined along the inclination of the ribs from the spine side to the sternum side, the left and right 12 pairs of ribs from the 1st rib to the 12th rib are determined The displayed display range is a three-dimensional area with different inclinations in volume data.

  Returning to FIG. 1, the generation function 354 generates, for each display range, a display image indicating ribs included in the display range. Specifically, the generation function 354 generates a display image showing ribs included in the display range from the direction orthogonal to the inclination of the display range. Then, the generation function 354 causes the storage circuit 320 to store the generated display image. FIG. 5 is a diagram showing an example of generation of a display image by the generation function 354 according to the first embodiment. Here, FIG. 5 shows a case where a display image is generated for the range R2 determined as the display range by the determination function 353.

  For example, as illustrated in FIG. 5, the generation function 354 arranges the viewpoint at a position orthogonal to the surface of the range R2, and generates a display image in the direction of the line of sight from the arranged viewpoint. That is, the generation function 354 generates a display image in which the viewing direction is from the direction substantially perpendicular to the circle formed by the left and right ribs. For example, the generation function 354 generates, for each display range, a perspective image obtained by perspective projection of a rib included in the display range.

  FIG. 6 is a view showing a fluoroscopic image generated by the generation function 354 according to the first embodiment. For example, as illustrated in FIG. 6, the generation function 354 generates a fluoroscopic image in which a rib is perspectively projected from a direction substantially perpendicular to a circle formed by the left and right ribs. Here, the display range determined by the determination function 353 is determined such that the entire rib is included for each rib. Therefore, the display range determined by the determination function 353 may include adjacent ribs at the upper and lower sides. For example, the display range determined to include the sixth rib may include parts of the fifth rib and the seventh rib.

  Therefore, when generating a fluoroscopic image for each display range, the generation function 354 extracts only the ribs corresponding to each display range, and perspectively projects only the extracted ribs, as shown in FIG. It generates a fluoroscopic image in which only one rib is depicted without overlapping of the ribs. As an example, the generation function 354 first extracts the connection portion where the spine and the rib connect in the bone region included in the display range. For example, the generation function 354 extracts connecting portions of ribs that connect left and right with respect to the spine.

  Then, the generation function 354 extracts a bone region continuous with the extracted connection portion as a rib corresponding to the display range. That is, the generation function 354 excludes a bone region not continuous with the connection portion as a rib corresponding to a different display range. Thus, the generation function 354 extracts only the corresponding ribs from each display range. Then, the generation function 354 causes the ribs extracted in this manner to perspectively project from a direction substantially perpendicular to the circle formed by the left and right ribs, thereby generating a fluoroscopic image. For example, the generation function 354 generates fluoroscopic images for each of 12 pairs of ribs from the first rib to the 12th rib.

  The control function 351 causes the display 340 to display the display image generated by the generation function 354. Specifically, the control function 351 reads the display image stored by the storage circuit 320 and causes the display 340 to display it. For example, the control function 351 causes the display 340 to display the fluoroscopic image of each rib generated by the generation function 354 and stored in the storage circuit 320. Here, the control function 351 can display a list of display images on the display 340 or switch and display the display images in accordance with the operation of the operator.

  7A and 7B are diagrams showing display examples of display images by the control function 351 according to the first embodiment. Here, FIG. 7A shows an example of list display of display images. Moreover, FIG. 7B shows an example of switching display of a display image. For example, as shown in FIG. 7A, the control function 351 causes the display 340 to list and display fluoroscopic images generated for the first rib to the twelfth rib. As a result, the operator can confirm at a glance while maintaining the three-dimensional position and shape of all ribs included in the volume data. For example, in the list display shown in FIG. 7A, the operator can immediately grasp that the third rib in the left row has a fracture broken toward the center of the body.

  Also, for example, as shown in FIG. 7B, the control function 351 switches and displays each fluoroscopic image on the display 340 one by one. As an example, the control function 351 switches and displays the fluoroscopic image according to the switching operation performed by the operator via the input interface 330. For example, the control function 351 sequentially switches and displays the fluoroscopic image of the first rib to the fluoroscopic image of the 12th rib according to the switching operation by the operator. Thus, the operator can observe a large display image in which the three-dimensional position and shape are maintained for all ribs included in the volume data.

  In the embodiment described above, the case where the generation function 354 generates a perspective image by perspective projection has been described. However, the embodiment is not limited to this, and the generation function 354 can generate various other display images. Hereinafter, modifications of the display image generated by the generation function 354 will be described.

  For example, the generation function 354 generates, for each display range, an MPR image along the inclination of the display range. FIG. 8A is a diagram for describing an example of generation of an MPR image by the generation function 354 according to the first embodiment. For example, as illustrated in FIG. 8A, the generation function 354 defines a plurality of cross sections of the cross section 61 to the cross section 65 in the range R2, and generates an MPR image of each cross section. Here, the generation function 354 defines the cross section so that the widest range of rib cross sections is included in one cross section. For example, the generation function 354 defines, of the possible cross-sections in the range R2, a cross-section where the cross-sectional area of the ribs included in the cross-section is the largest. Then, the generation function 354 sets a plurality of cross sections including the defined cross section as cross sections of MPR image generation. That is, any of the cross sections 61 to 65 in FIG. 8A is a cross section in which the cross-sectional area of the rib is the largest.

  Then, the generation function 354 stores the plurality of MPR images generated for each display range in the storage circuit 320 as one series. That is, the generation function 354 generates 12 series corresponding to each rib of the 1st rib to the 12th rib and stores them in the storage circuit 320.

  The control function 351 causes the display 340 to display the MPR image generated by the generation function 354. Here, the control function 351 can perform the list display shown in FIG. 7A and the switch display shown in FIG. 7B also for the MPR images. For example, the control function 351 reads MPR images for each series from the storage circuit 320 and displays a list of each series. That is, the control function 351 reads 12 series from the series corresponding to the first rib to the series corresponding to the 12th rib, and displays the read 12 series in one screen.

  Here, each series contains a plurality of MPR images. Therefore, the control function 351 displays a list as shown in FIG. 7A, and switches and displays the MPR images in the series according to the operation of the operator. Taking the series generated in the range R2 as an example, the control function 351 sequentially operates from the MPR image of the cross section 61 to the MPR image of the cross section 65 according to the switching operation performed by the operator via the input interface 330. Switch and display. Therefore, the operator can sequentially observe the MPR images that gradually become smaller after the area of the rib to be drawn becomes gradually larger and the area becomes maximum according to the switching operation.

  The control function 351 performs the above-described switching display on the MPR images of the respective series displayed on the display 340. That is, the control function 351 performs switching display of the MPR image so that the images of all the series are simultaneously switched in response to the switching operation by the operator.

  Also, for example, the control function 351 reads MPR images for each series from the storage circuit 320 and causes the MPR images to be displayed in order of series. For example, the control function 351 reads 12 series from the series corresponding to the first rib to the series corresponding to the 12th rib. Then, the control function 351 displays the images one by one on the full screen as shown in FIG. 7B in order from the MPR images included in the series corresponding to the first rib. Then, the control function 351 sequentially switches and displays the MPR images in accordance with the switching operation by the operator.

  As described above, in the medical image processing apparatus 300, a plurality of MPR images can be generated for each display range, and each MPR image can be displayed. Here, as described above, each display range may include a part of adjacent ribs. Therefore, adjacent ribs may be depicted in the MPR image of a cross section having a display area.

  Therefore, the generation function 354 extracts, for each display range, a rib different from the rib corresponding to the display range and processes the extracted different ribs into a display mode different from the display mode of the rib corresponding to the display area To generate a displayed image. FIG. 8B is a diagram for describing an example of generation of a display image by the generation function 354 according to the first embodiment. For example, as shown in FIG. 8B, in the range R2, a part of the rib adjacent to each of the region R3, the region R4 and the region R5 is included. The generation function 354 extracts a region R3, a region R4 and a region R5 from the range R2 and executes various image processing on each of the extracted regions.

  For example, the generation function 354 extracts the regions R3 to R5 by extracting only ribs corresponding to each display range as described above and setting regions including ribs other than the extracted ribs. Then, the generation function 354 performs various types of image processing on the extracted regions R3 to R5 to generate a display image in which ribs corresponding to the display range can be easily observed. For example, the generation function 354 performs mask processing on the extracted regions R3 to R5 to generate an MPR image in which a rib different from the rib corresponding to the display range is erased. Also, for example, the generation function 354 generates an MPR image in which the color of the ribs included in the extracted regions R3 to R5 and the degree of opacity are changed.

  The generation function 354 can also generate a display image on which the ribs corresponding to the display range can be easily observed by performing image processing on the ribs corresponding to the display range. For example, the generation function 354 performs an edge enhancement process on the extracted ribs to generate an MPR image in which the ribs corresponding to the display range are emphasized.

  In addition, the generation function 354 can generate various other display images. For example, as illustrated in FIG. 9, the generation function 354 can generate a display image with a thick display range. In such a case, the generation function 354 generates the display image by, for example, maximum intensity projection, minimum intensity projection, or average intensity projection for the range R2. Generate Also, for example, the generation function 354 generates a thickened MPR image for the range R2.

  The generation function 354 can also generate a CPR (Curved Multi Planer Reconstruction) image along a curve of a rib. For example, as illustrated in FIG. 10, the generation function 354 generates a CPR image for each of the curved cross sections 66 to 68. 9 and 10 are diagrams for describing an example of generation of a display image by the generation function 354 according to the first embodiment.

  The control function 351 can perform the list display as shown in FIG. 7A and the switch display as shown in FIG. 7B also for the various images described above.

  Next, the procedure of processing by the medical image processing apparatus 300 according to the first embodiment will be described. FIG. 11 is a flowchart showing the processing procedure of the medical image processing apparatus 300 according to the first embodiment. Here, step S101 and step S106 in FIG. 11 are realized, for example, by the processing circuit 350 calling a program corresponding to the control function 351 from the storage circuit 320 and executing it. Also, steps S102 and S103 are implemented, for example, by the processing circuit 350 calling a program corresponding to the extraction function 352 from the storage circuit 320 and executing it. Step S104 is realized, for example, by the processing circuit 350 calling a program corresponding to the determination function 353 from the storage circuit 320 and executing it. Step S105 is realized by the processing circuit 350 calling a program corresponding to the generation function 354 from the storage circuit 320 and executing it.

  In the medical image processing apparatus 300 according to the present embodiment, the processing circuit 350 first collects volume data from the X-ray CT apparatus 100 or the image storage apparatus 200 (step S101). Then, the processing circuit 350 extracts ribs from the volume data (step S102), and extracts core lines of each rib (step S103).

  Then, the processing circuit 350 determines a display range for each rib (step S104), and generates a display image for each display range (step S105). Thereafter, the processing circuit 350 causes the display 340 to display the generated cross-sectional image (step S106).

  As described above, according to the first embodiment, the control function 351 acquires volume data regarding a plurality of ribs. The extraction function 352 extracts core lines of a plurality of ribs. The determination function 353 determines the display range based on the core line for each of a plurality of ribs. The generation function 354 generates, for each display range, a display image indicating ribs included in the display range. The control function 351 causes the display 340 to display a display image. Therefore, the medical image processing apparatus 300 according to the first embodiment can display a display image based on the core line of each rib, and can improve the visibility of the rib.

  For example, in diagnosis of fractures of ribs, X-ray images, VR images, MPR images, developed views and the like are used. However, for example, in an X-ray image, fracture lines are difficult to observe because the ribs overlap each other. Further, for example, in the VR image, the upper and lower ribs, the front and the back overlap, and it is difficult to observe. Also, for example, in the MPR image, the ribs are partially displayed, which is difficult to observe. Also, for example, in the developed view, although there is no overlap between bones and a fracture line can be observed, since it is an image obtained by linearly deforming a rib, as a result of breaking it, to any position and direction in three dimensions It is difficult to confirm movement or deformation.

  On the other hand, in the medical image processing apparatus 300 according to the first embodiment, the display range based on the core line is determined for each rib, and a display image is generated and displayed for each display range. A display image in a state where the three-dimensional shape is maintained with little overlap can be displayed. As a result, the medical image processing apparatus 300 makes it possible to improve the visibility of ribs.

  Further, according to the first embodiment, the determination function 353 determines the range including the rib as a display range, along the slope of the core with respect to the spine. The generation function 354 generates a display image showing ribs included in the display range from the direction orthogonal to the inclination of the display range. Therefore, the medical image processing apparatus 300 according to the first embodiment can therefore display a display image showing each rib from the upper side, and can grasp the three-dimensional position and direction of the fracture site at a glance. Make it possible.

  Further, according to the first embodiment, the determination function 353 determines the display range for the ribs that are paired on the left and right around the spine. The generation function 354 generates, for each display range, display images each showing a rib that is a pair on the left and right with respect to the spine. Therefore, the medical image processing apparatus 300 according to the first embodiment can display a display image in which each rib is shown in a circle, and the three-dimensional position and direction of the fracture site for the entire rib can be seen at a glance. Make it possible to grasp in

  Further, according to the first embodiment, the generation function 354 generates, for each display range, a perspective image obtained by perspective projection of a rib included in the display range. The control function 351 causes the display 340 to display a fluoroscopic image. Therefore, the medical image processing apparatus 300 according to the first embodiment can include the entire rib in one display image, and can diagnose more efficiently.

  Further, according to the first embodiment, the generation function 354 generates, for each display range, an MPR image along the inclination of the display range. The control function 351 causes the display 340 to display the MPR image. In addition, the generation function 354 generates, for each display range, a thick image from the direction orthogonal to the inclination of the display range. The control function 351 causes the display 340 to display a thick image. Therefore, the medical image processing apparatus 300 according to the first embodiment makes it possible to generate and display various display images for each display range.

  Further, according to the first embodiment, the generation function 354 generates, for each display range, a CPR image along the core line of the rib included in the display range. The control function 351 causes the display 340 to display a CPR image. Therefore, the medical image processing apparatus 300 according to the first embodiment makes it possible to display the entire rib with a small number of cross-sectional images.

  Further, according to the first embodiment, the generation function 354 extracts, for each display range, a rib different from the rib corresponding to the display range, and the extracted different ribs correspond to the display of the ribs corresponding to the display area. A display image subjected to image processing in a display mode different from the mode is generated. The control function 351 causes the display 340 to display a display image. Therefore, the medical image processing apparatus 300 according to the first embodiment makes it possible to display an image of a rib in each display range as an image that is easier to observe.

Second Embodiment
Next, a second embodiment will be described. The configuration of the medical image processing apparatus 300 according to the present embodiment is basically the same as the configuration of the medical image processing apparatus 300 shown in FIG. Therefore, in the following, differences from the medical image processing apparatus 300 according to the first embodiment will be mainly described, and components having the same role as the components shown in FIG. As a detailed explanation is omitted.

  In the first embodiment described above, the case where the display image for each display range is generated and displayed has been described. In the second embodiment, a case where a fracture region of a rib is detected and the detected fracture region is displayed on a display image will be described.

  The generating function 354 according to the second embodiment detects a fracture region in the calcaneus bone by comparing between paired bones on the right and left around the spine in the calcaneus, and displays a display image showing the detected fracture area Generate 12A and 12B are diagrams for explaining an example of processing by the generation function 354 according to the second embodiment. For example, as illustrated in FIG. 12A, the generation function 354 inverts the range with the spine at the left and right center with respect to the rib B1 and the rib B2 as a pair, and detects a region serving as a lateral difference as a fracture region. As an example, the generation function 354 detects a region of difference between rib B1 and B21 in which the range of rib B2 is reversed as a fracture region.

  Then, the generation function 354 generates a display image in which the detected fracture region is emphasized. For example, the generation function 354 generates a display image in which a color is added to the fracture region. Also, for example, as illustrated in FIG. 12A, the generation function 354 can add an arrow indicating the direction in which the fracture region is shifted on the display image.

  Here, deformation due to fracture also occurs in the vertical direction. Therefore, the generation function 354 inverts the range with the spine at the left and right centers, and changes the angle to compare the areas when detecting the area that is the difference between the left and the right. For example, as illustrated in FIG. 12B, the generation function 354 detects a lateral difference when the ribs are viewed from the side (for example, the direction illustrated in FIG. 4). For example, the generation function 354 inverts the range with the spine at the left and right center with respect to the rib B3 and the rib B4 which are a pair, and detects a region that becomes a difference between the left and right as a fracture region. As an example, as illustrated in FIG. 12B, the generation function 354 detects a region of difference between rib B3 and B41 in which the range of rib B4 is reversed as a fracture region.

  Here, the generation function 354 can generate a display image from the direction in which the fracture region is detected. For example, the generation function 354 can generate a display image showing ribs from the direction shown in FIG. 12B, and add an arrow indicating the direction in which the fracture region is shifted on the generated display image.

  The generation function 354 can also generate various display images when a fracture area is detected. 13 and 14 are diagrams showing an example of a display image generated by the generation function 354 according to the second embodiment. For example, when the generation function 354 detects a fracture region, the generation function 354 generates a VR image from the volume data to generate a display image in which the fracture region on the generated VR image is emphasized. As an example, as illustrated in FIG. 13, the generation function 354 generates a VR image from the direction in which the fracture region 71 is shown on the front surface, and generates a display image showing the fracture region 71 on the generated VR image.

  Also, for example, when the generation function 354 detects a fracture region, the generation function 354 generates an MPR image of an axial cross section including the detected fracture region. As an example, the generation function 354 generates an MPR image of an axial cross section including the fracture region 72, as shown in FIG. The generation function 354 then generates a display image showing the fracture region 72 on the generated MPR image.

  Furthermore, the generation function 354 can further generate a cross-sectional image of a cross-section including the fracture region and orthogonal to the core line. For example, as shown in FIG. 14, the generation function 354 generates an MPR image of the cross section 69 which includes the fracture region 72 and is orthogonal to the core line. Thus, the medical image processing apparatus 300 can display not only the axial cross section including the fracture region 72 but also the cross section in the body axial direction including the fracture region 72.

  The control function 351 causes the display 340 to display various display images generated by the generation function 354. For example, the control function 351 causes the display 340 to display a display image including the above-described fracture region together with the display image described in the first embodiment.

  As described above, according to the second embodiment, the generating function 354 detects and detects the fracture region in the rib by comparing between the paired bones on the right and left around the spine in the rib. Generate a display image showing the fracture area. The control function 351 causes the display 340 to display a display image in which the fracture area is indicated. Therefore, the medical image processing apparatus 300 according to the second embodiment can detect a fracture region in a rib and can display a display image indicating the fracture region, and can improve the efficiency of diagnosis.

  Further, according to the second embodiment, the generation function 354 further generates a cross-sectional image of a cross section including the fracture region and orthogonal to the core line. The control function 351 further causes the display 340 to display a cross-sectional image. Therefore, the medical image processing apparatus 300 according to the second embodiment can display a display image in which a fracture region is shown at a plurality of angles, and can improve the efficiency of diagnosis.

Third Embodiment
Now, the first and second embodiments have been described above, but may be implemented in various different forms other than the above-described first and second embodiments.

  In the first and second embodiments described above, the display range is determined for each of the right and left paired ribs and the display image is displayed. However, the embodiment is not limited to this. For example, the display range may be determined for each rib on only one of the left and right sides and the display image may be displayed.

  Further, in the embodiment described above, the case where the medical image processing apparatus 300 executes various processes has been described. However, the embodiment is not limited to this. For example, various processes may be performed in the X-ray CT apparatus 100. FIG. 15 is a view showing an example of the arrangement of an X-ray CT apparatus 100 according to the third embodiment.

  For example, as shown in FIG. 15, the X-ray CT apparatus 100 according to the third embodiment has a gantry 10, a bed 20, and a console 30.

  The gantry 10 is an apparatus for irradiating the subject P with X-rays and collecting data on the X-rays transmitted through the subject P. The gantry 10 is an X-ray high voltage apparatus 11, an X-ray generator 12, and an X-ray detector. 13, a data acquisition circuit 14, a rotation frame 15, and a gantry control device 16. Further, in the gantry 10, as shown in FIG. 15, an orthogonal coordinate system including an X axis, a Y axis, and a Z axis is defined. That is, the X-axis indicates the horizontal direction, the Y-axis indicates the vertical direction, and the Z-axis indicates the rotation center axis direction of the rotary frame 15 when the gantry 10 is not tilted.

  The rotating frame 15 supports the X-ray generator 12 and the X-ray detector 13 so as to face each other with the subject P interposed therebetween, and the gantry control device 16 described later performs high-speed circular orbit around the subject P It is an annular frame that rotates in

  The X-ray generator 12 is an apparatus that generates X-rays and irradiates the generated X-rays to the subject P. The X-ray generator 12 has an X-ray tube 12a, a wedge 12b, and a collimator 12c.

  The X-ray tube 12a is a vacuum tube which receives supply of high voltage from the X-ray high voltage device 11 and irradiates thermal electrons from the cathode (sometimes called a filament) to the anode (target). The X-ray beam is irradiated onto the subject P as the rotation of. That is, the X-ray tube 12 a generates X-rays using the high voltage supplied from the X-ray high voltage device 11.

  In addition, the X-ray tube 12a generates an X-ray beam which spreads with a fan angle and a cone angle. For example, under the control of the X-ray high-voltage device 11, the X-ray tube 12a continuously emits X-rays around the entire periphery of the subject P for full reconstruction or half reconfigurable exposure for half reconstruction. It is possible to continuously emit X-rays in the radiation range (180 degrees + fan angle). The X-ray tube 12a can intermittently emit X-rays (pulse X-rays) at a preset position (tube position) under the control of the X-ray high voltage apparatus 11. Further, the X-ray high voltage apparatus 11 can also modulate the intensity of X-rays emitted from the X-ray tube 12a. For example, the X-ray high voltage device 11 strengthens the intensity of X-rays emitted from the X-ray tube 12a at a specific tube position, and exposes the X-ray tube 12a at a range other than the specific tube position. Weaken the intensity of the emitted X-rays.

  The wedge 12 b is an X-ray filter for adjusting the X-ray dose of the X-ray emitted from the X-ray tube 12 a. Specifically, the wedge 12b transmits X-rays emitted from the X-ray tube 12a so that X-rays irradiated from the X-ray tube 12a to the subject P have a predetermined distribution. It is a filter that attenuates. For example, the wedge 12 b is a filter in which aluminum is processed to have a predetermined target angle and a predetermined thickness. The wedge is also called a wedge filter or a bow-tie filter.

  The collimator 12c is formed of a lead plate or the like, and has a slit in part. For example, the collimator 12c narrows down the irradiation range of the X-ray whose X-ray dose has been adjusted by the wedge 12b by the slit under the control of the X-ray high voltage device 11 described later.

  The X-ray source of the X-ray generator 12 is not limited to the X-ray tube 12a. For example, in place of the X-ray tube 12a, the X-ray generator 12 collides with a focusing coil for focusing the electron beam generated from the electron gun, a deflection coil for electromagnetic deflection, and an electron beam obtained by circling a half circumference of the subject P The target ring may generate an X-ray by performing processing.

  The X-ray high voltage device 11 is composed of an electric circuit such as a transformer and a rectifier, and the high voltage generator having a function of generating a high voltage to be applied to the X-ray tube 12a; It comprises an X-ray controller that controls the output voltage according to the X-ray to be generated. The high voltage generator may be a transformer type or an inverter type. For example, the X-ray high voltage device 11 adjusts the X-ray dose irradiated to the subject P by adjusting the tube voltage and the tube current supplied to the X-ray tube 12a. Also, the X-ray high voltage device 11 receives control from the processing circuit 37 of the console 30.

  The gantry control device 16 is configured of a processing circuit configured by a CPU (Central Processing Unit) or the like, and a drive mechanism such as a motor and an actuator. The gantry control device 16 has a function of performing operation control of the gantry 10 in response to an input signal from the input interface 31 attached to the console 30 or the input interface attached to the gantry 10. For example, the gantry control device 16 is controlled to rotate the X-ray tube 12a and the X-ray detector 13 on a circular orbit centering on the subject P by receiving the input signal and rotating the rotation frame 15. Control to tilt the gantry 10 and control to operate the bed 20 and the top 22 are performed. The gantry control device 16 receives control from the processing circuit 37 of the console 30.

  In addition, the gantry control device 16 monitors the position of the X-ray tube 12a, and when the X-ray tube 12a reaches a predetermined rotation angle (imaging angle), timing for starting acquisition of data to the data acquisition circuit 14 Output a view trigger signal indicating. For example, when the total number of views in rotational imaging is 2460 views, the gantry controller 16 outputs a view trigger signal each time the X-ray tube 12a moves about 0.15 degrees (= 360/2460) on a circular orbit. Do.

  For example, the X-ray detector 13 has a plurality of X-ray detection elements (also referred to as “sensors” or simply “detection elements”) arranged in the channel direction along one arc centering on the focal point of the X-ray tube 12a. It comprises a plurality of X-ray detection element rows. The X-ray detector 13 has a structure in which a plurality of X-ray detection element rows, in which a plurality of X-ray detection elements are arranged in the channel direction, are arranged in the slice direction. Each X-ray detection element of the X-ray detector 13 is irradiated from the X-ray generator 12 to detect X-rays passing through the subject P, and an electric signal (pulse) corresponding to the X-ray dose is collected by the data acquisition circuit 14 Output to

  The X-ray detector 13 is, for example, an indirect conversion detector including a grid, a scintillator array, and a light sensor array. The scintillator array is composed of a plurality of scintillators, and the scintillator is composed of a scintillator crystal that outputs light of an amount of photons according to the incident X-ray dose. The grid is disposed on the surface on the X-ray incident side of the scintillator array, and is constituted by an X-ray shield plate having a function of absorbing scattered X-rays. The optical sensor array has a function of converting into an electrical signal according to the amount of light from the scintillator, and is constituted of an optical sensor such as a photomultiplier tube, for example. Here, the light sensor is, for example, SiPM (Silicon photomultiplier).

  The X-ray detector 13 may be a direct conversion detector including a semiconductor element that converts incident X-rays into an electric signal.

  The data acquisition circuit 14 (DAS: Data Acquisition System) includes an amplifier for amplifying the electric signal output from each X-ray detection element of the X-ray detector 13 and an A / A that converts the electric signal to a digital signal. And D (Analog-to-digital) converter, and generates detection data using a detection signal of the X-ray detector 13.

  The bed 20 is a device for placing and moving a subject P to be scanned, and includes a bed driving device 21, a top 22, a base 23, and a base (support frame) 24.

  The top 22 is a plate on which the subject P is placed. The base 24 supports the top 22. The base 23 is a housing that supports the base 24 so as to be movable in the vertical direction. The bed driving device 21 is a motor or an actuator that moves the subject P into the rotation frame 15 by moving the top 22 on which the subject P is placed in the long axis direction of the top 22. The bed driving device 21 can also move the top 22 in the X-axis direction.

  In addition, only the top 22 may be moved or the top 24 may be moved together with the base 24 of the bed 20. Further, in the case of standing position CT, a method of moving a patient moving mechanism corresponding to the top 22 may be used.

  The gantry 10 executes, for example, a helical scan in which the subject P is scanned in a spiral by rotating the rotation frame 15 while moving the top 22. Alternatively, the gantry 10 performs a conventional scan in which the subject P is scanned in a circular orbit by rotating the rotating frame 15 with the position of the subject P fixed after moving the top 22. In the following embodiment, although the change of the relative position of mount frame 10 and top plate 22 is explained as what is realized by controlling top plate 22, the embodiment is not limited to this. For example, when the gantry 10 is a self-propelled type, by controlling the traveling of the gantry 10, a change in relative position between the gantry 10 and the top 22 may be realized. Further, by controlling the traveling of the gantry 10 and the top 22, a change in relative position between the gantry 10 and the top 22 may be realized.

  The console 30 is a device that receives an operation of the X-ray CT apparatus 100 by the operator and reconstructs CT image data using the projection data acquired by the gantry 10. The console 30 has an input interface 31, a display 32, a memory circuit 35, and a processing circuit 37, as shown in FIG.

  The input interface 31 receives various input operations from the operator, converts the received input operations into electric signals, and outputs the electric signals to the processing circuit 37. For example, the input interface 31 may use an operator as a collection condition when collecting projection data, a reconstruction condition when reconstructing CT image data, and an image processing condition when generating a post-processed image from CT image data. Accept from For example, the input interface 31 is realized by a mouse, a keyboard, a trackball, a switch, a button, a joystick, or the like.

  The display 32 displays various information. For example, the display 32 outputs a medical image (CT image) generated by the processing circuit 37, a graphical user interface (GUI) for receiving various operations from the operator, and the like. For example, the display 32 is configured by a liquid crystal display, a CRT (Cathode Ray Tube) display, or the like.

  The storage circuit 35 is realized by, for example, a random access memory (RAM), a semiconductor memory element such as a flash memory, a hard disk, an optical disk or the like. The storage circuit 35 stores, for example, projection data and CT image data.

  The processing circuit 37 executes, for example, a control function 37a, an extraction function 37b, a determination function 37c, and a generation function 37d. Here, for example, each processing function executed by the control function 37a, the extraction function 37b, the determination function 37c, and the generation function 37d which are components of the processing circuit 37 shown in FIG. 15 is in the form of a program executable by a computer. It is recorded in the memory circuit 35. The processing circuit 37 is, for example, a processor, reads out each program from the storage circuit 35, and executes the program to realize a function corresponding to each program read out. In other words, the processing circuit 37 in the state of reading out each program has each function shown in the processing circuit 37 of FIG.

  The control function 37 a controls the entire X-ray CT apparatus 100. Further, the control function 37a executes the same processing as the control function 351 described above. The extraction function 37b executes the same process as the above-described extraction function 352. The determination function 37c executes the same process as the above-described determination function 353. The generation function 37d executes the same process as the generation function 354 described above.

  In the above-described embodiment, an example in which each processing function is realized by a single processing circuit (processing circuit 350 and processing circuit 37) has been described, but the embodiment is not limited to this. For example, the processing circuit 350 and the processing circuit 37 may be configured by combining a plurality of independent processors, and each processor may execute each program to realize each processing function. Further, each processing function of the processing circuit 350 and the processing circuit 37 may be realized by being appropriately distributed or integrated into a single or a plurality of processing circuits.

  The word “processor” used in the description of each of the above-described embodiments may be, for example, a central processing unit (CPU), a graphics processing unit (GPU), or an application specific integrated circuit (ASIC), programmable Circuits such as logic devices (for example, Simple Programmable Logic Device (SPLD), Complex Programmable Logic Device (CPLD), and Field Programmable Gate Array (FPGA)) are meant. Do. Here, instead of storing the program in the memory circuit, the program may be directly incorporated in the circuit of the processor. In this case, the processor implements the function by reading and executing a program embedded in the circuit. In addition, each processor of the present embodiment is not limited to a case where each processor is configured as a single circuit, and a plurality of independent circuits may be combined to be configured as a single processor to realize its functions. Good.

  Here, the program executed by the processor is provided by being incorporated in advance in a ROM (Read Only Memory), a storage unit, or the like. Note that this program is a file that can be installed or runnable in these devices, and is a CD (Compact Disk) -ROM, a FD (Flexible Disk), a CD-R (Recordable), a DVD (Digital Versatile Disk), etc. May be recorded and provided in a computer readable storage medium of In addition, this program may be stored on a computer connected to a network such as the Internet, and may be provided or distributed by being downloaded via the network. For example, this program is configured by a module including each functional unit. As actual hardware, each module is loaded onto the main storage device and generated on the main storage device by the CPU reading and executing a program from a storage medium such as a ROM.

  According to at least one embodiment described above, the visibility of ribs can be improved.

  While certain embodiments of the present invention have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention. These embodiments can be implemented in other various forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the invention described in the claims and the equivalents thereof as well as included in the scope and the gist of the invention.

100 X-ray CT apparatus 37, 350 processing circuit 37a, 351 control function 37b, 352 extraction function 37c, 353 decision function 37d, 354 generation function 300 medical image processing apparatus

Claims (11)

An acquisition unit for acquiring volume data of a plurality of ribs;
An extraction unit for extracting core lines of the plurality of ribs;
A determination unit configured to determine a display range including the ribs by tilting along the inclination of the core line with respect to the spine with respect to the plurality of ribs;
A generation unit configured to generate, for each of the display ranges, a display image indicating ribs included in the display range in a direction orthogonal to the inclination of the display range;
A display control unit that causes the display unit to display the display image;
A medical image processing apparatus comprising: The determination unit determines the display range for ribs that are paired on the left and right around a spine,
The medical image processing apparatus according to claim 1, wherein the generation unit generates a display image indicating a rib which is a pair on the left and right with respect to the spine, for each of the display ranges. The generation unit generates, for each of the display ranges, a perspective image obtained by perspective projection of a rib included in the display range;
The medical image processing apparatus according to claim 1, wherein the display control unit causes the display unit to display the fluoroscopic image. The generation unit generates, for each of the display ranges, an MPR image along an inclination of the display range.
The medical image processing apparatus according to claim 1, wherein the display control unit causes the display unit to display the MPR image. The generation unit generates, for each of the display ranges, a thick image from a direction orthogonal to the inclination of the display range.
The medical image processing apparatus according to claim 1, wherein the display control unit causes the display unit to display the image with thickness. The generation unit generates, for each of the display ranges, a CPR image along a core line of ribs included in the display range;
The medical image processing apparatus according to claim 1, wherein the display control unit causes the display unit to display the CPR image. The generation unit extracts a rib different from a rib corresponding to the display range for each display range, and processes the extracted different ribs into a display mode different from the display mode of the rib corresponding to the display range Generate a displayed image,
The medical image processing apparatus according to claim 1, wherein the display control unit causes the display unit to display the display image. The generation unit detects a fracture region in the rib by comparing between the paired bones on the right and left around the spine in the rib, and generates a display image indicating the detected fracture region.
The medical image processing apparatus according to any one of claims 1 to 7, wherein the display control unit causes the display unit to display a display image in which the fracture region is indicated. The generation unit further generates a cross-sectional image of a cross section including the fracture region and orthogonal to the core line,
The medical image processing apparatus according to claim 8, wherein the display control unit further causes the display unit to display the cross-sectional image. A collection unit that collects volume data of a plurality of ribs;
An extraction unit for extracting core lines of the plurality of ribs;
A determination unit configured to determine a display range including the ribs by tilting along the inclination of the core line with respect to the spine with respect to the plurality of ribs;
A generation unit configured to generate, for each of the display ranges, a display image indicating ribs included in the display range in a direction orthogonal to the inclination of the display range;
A display control unit that causes the display unit to display the display image;
, An X-ray CT apparatus. Get volume data on multiple ribs,
Extracting core lines of the plurality of ribs;
For each of the plurality of ribs, tilt along the inclination of the core with respect to the spine, and determine a display range including the ribs.
For each of the display ranges, a display image is generated, each showing a rib included in the display range from a direction orthogonal to the inclination of the display range,
Displaying the display image on a display unit;
A medical image processing program that causes a computer to execute each processing.