JP2017086159A - Medical image processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a medical image processing device capable of detecting contact between a biological organ and an artifact in a subject using volume data, and displaying risk information.SOLUTION: A medical image processing device includes a volume data acquisition part for acquiring volume data of a subject, a segmentation part for specifying a first region which is a region corresponding to a biological organ, and a second region which is a region corresponding an artifact based on the volume data, a detection region specification part for specifying a detection region for contact between the first region and the second region in the volume data, and a contact information acquisition part for acquiring contact information on the first region and the second region by detecting the contact between the first region and the second region in the detection region specified by the detection region specification part.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to a medical image processing apparatus.

  In recent years, medical image diagnostic apparatuses capable of acquiring volume data for each phase have become widespread. Accordingly, for example, in an examination using an X-ray computed tomography apparatus (X-ray CT apparatus), a plurality of time-phase image data is imaged while moving a joint part of a subject such as a wrist or an ankle. It is possible to examine the dynamics of the site.

  Further, in recent years, treatment using an artificial object such as a bone fixation implant has been performed as a treatment method at the time of fracture at a joint site. The bone fixation implant is made of titanium, a titanium alloy, and stainless steel, and is made of a biocompatible material that hardly shows corrosion of a member or a biological rejection reaction even if it is embedded in the body. By fixing the bone fixing implant to the fracture site with a bolt or the like, the bone straddling the fracture site can be fixed. On the other hand, since the tendon which is the tissue which connects them is distributed between the bone and the muscle or between the bone and the bone, the bone fixing implant is fixed to the bone in a state of being close to the tendon. Therefore, depending on the fixation position of the bone fixation implant, the bone fixation implant comes into contact with a living organ such as a tendon by causing the joint to bend, extend, rotate, and the like. There are known cases that cause In addition, other living organs may be damaged by contact with an artificial object embedded in the body.

JP2013-172792A

  Embodiments have been made to solve the above-described problem, and an object of the present invention is to provide a medical image processing apparatus capable of detecting contact between a living organ and an artificial object and notifying risk information regarding tearing of the living organ. To do.

  To achieve the above object, a medical image processing apparatus according to an embodiment includes a volume data acquisition unit that acquires volume data of a subject, a first region that is a region corresponding to a living organ based on the volume data, and A segmentation unit that specifies a second region that is a region corresponding to an artifact, a detection region specifying unit that specifies a detection region of contact between the first region and the second region in the volume data, and a detection region specifying unit, It has a contact information acquisition part which acquires contact information of the 1st field and the 2nd field by detecting contact of the 1st field and the 2nd field in the specified detection field.

1 is a block diagram showing a system configuration including a medical image processing apparatus according to an embodiment. 6 is a flowchart showing a schematic operation of the medical image processing apparatus according to the embodiment. The schematic diagram which shows an example of the contact state of the bone fixation implant and tendon in the wrist joint which concerns on embodiment. The figure which shows an example of the contact detection method of the bone fixation implant and tendon which concerns on embodiment. The figure which shows an example of the display screen of the risk information of the tendon concerning embodiment. The figure which shows an example of the highlight display screen of the contact tendon which concerns on embodiment.

  Hereinafter, embodiments will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating a configuration of a system including a medical image processing apparatus 1 according to the embodiment. The medical image processing apparatus 1 in FIG. 1 includes a storage circuit 11, a processing circuit 12, an input device 13, and a display device 14. The medical image processing apparatus 1 is connected to the image server 3 by wire or wireless, and has a configuration capable of transmitting and receiving image data of a plurality of time phases with these. The image server 3 is connected to an external medical image diagnostic apparatus 2.

  The medical image diagnostic apparatus 2 corresponds to, for example, an X-ray computed tomography apparatus (X-ray CT apparatus). The medical image diagnostic apparatus 2 has, for example, a function for acquiring volume data of biological organs including joint parts such as a subject's finger, wrist, elbow, shoulder, neck, ankle, knee, and crotch for each time phase (4D Scan). In the present embodiment, volume data refers to general image data drawn three-dimensionally. In the present embodiment, a minimum unit constituting volume data is defined as a voxel, and a pixel value included in each voxel is defined as a voxel value. The 4D scan is a scan technique for acquiring a plurality of time phase volume data (a plurality of time phase image data) by performing a volume scan using a multi-row X-ray detector a plurality of times. The image data of a plurality of time phases is an aggregate of volume data collected for each time phase, and corresponds to, for example, a 4DCT image. The acquired image data of a plurality of time phases is transmitted to the image server 3 and stored in the image server 3. The medical image diagnostic apparatus 2 used in this embodiment is not limited to the X-ray CT apparatus, and an X-ray image diagnostic apparatus, an MR apparatus, an ultrasonic diagnostic apparatus, or the like may be used.

  The image server 3 is a data server that stores image data of a plurality of time phases transferred from the medical image diagnostic apparatus 2. The image server 3 transfers the stored image data of a plurality of time phases to the storage circuit 11 of the medical image processing apparatus 1 in accordance with an instruction from the processing circuit 12 of the medical image processing apparatus 1. The storage circuit 11 is configured by a semiconductor storage device such as a RAM or a ROM.

  The storage circuit 11 includes image data of a plurality of time phases transferred from the image server 3, diagnosis information such as medical history about the subject, detection area information, the number of contact points between the tendon 31 and the bone fixation implant 32 which is an artificial object, and contact lines , The contact information indicated by the contact area, the contact volume, and the contact time, the volume rendering image, the number L of the separated voxels, the risk information regarding the rupture of the tendon 31, and the like. The storage circuit 11 includes a volume data acquisition unit that acquires volume data of the subject.

  The input device 13 is operated by an operator and transmits information input by the operator to the processing circuit 12. In response to the operator's operation, the input device 13 inputs information related to the subject, performs segmentation processing, inputs seed points, and the number L of separated voxels to the processing circuit 12. In the present embodiment, the input device 13 is described as a pointing device such as a mouse or a trackball. Further, as the input device 13, a GUI (Graphical User Interface) displayed on the display device 14 can be used.

  The display device 14 is a display device that displays a volume rendering image, risk information, and the like on a monitor, a display, or the like. The display device 14 has a function of transmitting an instruction input via the input device 13 to the processing circuit 12.

  The processing circuit 12 executes various processes. The processing circuit 12 includes a system control function 121, a segmentation function 122, a detection area specifying function 123, a contact detection function 124, an image processing function 125, a risk information calculation function 126, and a display control function 127.

  The system control function 121 receives command signals input by the operator from the input device 13 and information such as various initial setting conditions, and comprehensively controls the entire medical image processing apparatus 1 using these information.

  The segmentation function 122 performs processing for specifying the target area for the volume data designated by the operator. When the segmentation function 122 receives an instruction to execute the segmentation process (area specification) from the input device 13, it reads the volume data from the storage circuit 11 and executes the segmentation process on the volume data. By performing the segmentation process, it is possible to specify each region such as the tendon 31, the bone fixation implant 32, and the bone 33 from the volume data. Next, an area specifying method using a threshold value will be described as an example of the segmentation process. First, the segmentation function 122 extracts a voxel having the highest voxel value among the voxels in the volume data as a seed point (feature point). Alternatively, the operator designates a seed point via the input device 13. Then, the segmentation function 122 is connected to the seed point, and region growth (Region) that sequentially repeats extracting voxels satisfying the condition that the voxel value is larger than the threshold value of the voxel value of the volume data corresponding to each region. The segmentation process is executed by extracting only a specific area using the Growing method. As a result, specific regions (regions corresponding to the tendon 31, the bone fixation implant 32, and the bone 33) are specified from the regions displayed by the volume data, that is, the regions that can be observed by the operator. More specifically, the segmentation function 122 reads a voxel value threshold value (hereinafter referred to as a voxel threshold value) of volume data corresponding to an area including each voxel value referred to during segmentation processing from the storage circuit 11. The voxel threshold value is threshold value information of voxel values indicating, for example, each region of the tendon 31, the bone fixation implant 32, and the bone 33. The voxel threshold may have a configuration that can be set by the operator with reference to volume data displayed on the display device 14. As a result, it is possible to generate a volume rendering image in which an arbitrary part such as the tendon 31, the bone fixation implant 32, and the bone 33 is displayed. The segmentation process may be performed on each time phase volume data to generate a volume rendering image of each time phase. Also, instead of performing segmentation individually for all time phase volume data, a volume rendering image is generated from volume data at a certain time phase, and the generated volume rendering image is generated for volume data at other time phases. You may decide to align. By this alignment, it is possible to grasp how the part included in the volume data moves between time phases. That is, the segmentation result in another time phase may be obtained by analyzing the relative positional relationship between the parts segmented in a certain time phase.

  The detection region specifying function 123 is a detection region for detecting contact between the tendon 31 and the bone fixing implant 32 in the volume data in which the regions indicating the tendon 31, the bone fixing implant 32, and the bone 33 are specified by the segmentation function 122. Set up. The detection area specifying function 123 sets a periphery of the bone fixation implant 32 within a predetermined distance range from the area specified as the bone fixation implant 32 as a detection area. By limiting the detection area to a specific range, it is possible to reduce the calculation load and increase the inspection efficiency.

  The contact detection function 124 reads the detection area in the volume data set by the detection area specifying function 123. The contact detection function 124 detects the contact between the tendon 31 and the bone fixation implant 32 generated within the detection region. As a contact detection method, for example, contact between the tendon 31 and the bone fixation implant 32 can be detected using a dilation process. In the contact detection method using dilation processing, first, dilation processing is performed on the region of the bone fixation implant 32, and a range separated from the voxel corresponding to the surface of the bone fixation implant 32 by an arbitrary number of voxels L is obtained. Set. Next, it is determined whether or not the voxel corresponding to the tendon 31 is within this range. When it is detected that a voxel corresponding to the tendon 31 exists in this region, the tendon 31 and the bone fixation implant 32 are detected as being in contact with each other. The number L of separated voxels from the bone fixation implant 32 may be arbitrarily set by the operator when performing contact detection, or may be set in advance according to each joint site and automatically set according to the site to be detected. Alternatively, the number L of separated voxels may be set. Note that the contact detection method is not limited to the method using the dilation processing described in the present embodiment. For example, the distance between the voxels of the tendon 31 and the bone fixation implant 32 may be read, and the case where the distance between the voxels falls below a certain threshold may be detected as contact. The contact detection function 124 generates contact information indicating the contact state between the detected tendon 31 and the bone fixation implant 32. As an example of the contact information, the number of contact points, the contact line length, the contact area, the contact volume, and the contact time between the tendon 31 and the bone fixation implant 32 can be used. The number of contact points indicates the number of contact points between the tendon 31 and the bone fixation implant 32, and the contact line length indicates the length of the contact line when the tendon 31 and the bone fixation implant 32 are in linear contact. The contact area refers to the maximum contact area among the contact areas of the tendon 31 and the bone fixation implant 32 obtained for each volume data of each time phase. The contact volume indicates a volume in which the bone fixation implant 32 is in contact with the tendon 31 and the tendon 31 is deformed. Further, the contact time indicates a time interval in which contact is continuously generated when contact is detected for each time phase volume data. This contact information is used as a parameter for calculating the tendon tear risk described later. The contact detection function 124 is an example of a contact information acquisition unit that detects contact between the tendon 31 and the bone fixation implant 32.

  The image processing function 125 performs various processes related to image generation. The image processing function 125 reads the position of the tendon 31 and the bone fixation implant 32 from the volume rendering image, and displays the image at an angle at which the operator can easily see the contact between the tendon 31 and the bone fixation implant 32. I do. For example, it is suitable to display the wrist joint portion including the tendon 31 and the bone fixation implant 32 at an angle for observing from the side. Specifically, it is displayed in a direction parallel to the contact surface between the tendon 31 and the bone fixing implant 32 and from a direction perpendicular to the running direction of the tendon 31.

  The risk information calculation function 126 ruptures various diagnostic information such as contact information and information regarding index values such as the diameter and volume of the tendon 31 in the detection region, the medical history information of the subject, and the material of the bone fixation implant 32. Read from the storage circuit 11 as a risk parameter. Instead of reading the tear risk parameter from the storage circuit 11, the risk information calculation function 126 may directly read the data output from the contact detection function 124. Information input by the operator using the input device 13 may be read. The memory circuit 11 stores a table indicating the correspondence between the tear risk parameter and the risk information value, and the risk information calculation function 126 is in contact with the bone fixation implant 32 using the table and the tear risk parameter. Risk information such as a tear probability for each elapsed time after the operation of the tendon 31 is calculated. The risk information is information expressed by a combination of an elapsed time and a tear probability such as a tear probability of the tendon 31 after 5 years of surgery is 1%. The tear risk parameter includes at least contact information. In addition, the information on the thickness of the tendon 31, the medical history of the subject, the material of the bone fixation implant 32, and the like are added to the tear risk parameter. You can treat as. The display control function 127 reads input information from the input device 13 operated by the operator, and performs control related to various screen displays such as volume data, a volume rendering image, and a risk information display image of the tendon 31.

  In addition, each process performed by the components of the processing circuit 12, the system control function 121, the segmentation function 122, the detection area specifying function 123, the contact detection function 124, the image processing function 125, the risk information calculation function 126, and the display control function 127. The functions are recorded in the storage circuit 11 in the form of a program that can be executed by a computer. The processing circuit 12 is a processor that realizes a function corresponding to each program by reading the program from the storage circuit 11 and executing the program. In other words, the processing circuit 12 in a state where each program is read has the functions shown in the processing circuit 12 of FIG. In FIG. 1, the system control function 121, the segmentation function 122, the detection area specifying function 123, the contact detection function 124, the image processing function 125, the risk information calculation function 126, and the display control function 127 are performed by a single processing circuit 12. However, the processing circuit 12 may be configured by combining a plurality of independent processors, and each processor may execute a program to realize the function.

  Next, a series of operations of the medical image processing apparatus 1 according to the present embodiment will be described using the flowchart of FIG.

  First, in step S11, the operator performs a 4D scan of the subject using the medical image diagnostic apparatus 2 such as an X-ray CT apparatus provided separately from the medical image processing apparatus 1. When the 4D scan is executed, the imaging target region (for example, wrist joint) of the subject is fixed on the bed of the X-ray CT apparatus. The subject moves the wrist joint in various directions in which the subject can move on the bed, and image data of a plurality of time phases in a state in which the joint is moved in each joint movement direction is acquired. The acquired image data of a plurality of time phases is stored in the image server 3.

  Next, in step S <b> 12, the medical image processing apparatus 1 reads the image data of a plurality of time phases acquired in S <b> 11 from the image server 3 and stores it in the storage circuit 11 of the medical image processing apparatus 1.

  Next, in step S13, the segmentation function 122 of the processing circuit 12 reads the multiple time phase image data stored in the storage circuit 11 in S12, and executes the segmentation process on the multiple time phase image data. More specifically, a signal indicating that segmentation processing is to be performed on the volume data stored in the storage circuit 11 is input by the operator via the input device 13. The system control function 121 reads input information, and the system control function 121 transmits a signal to the segmentation function 122 to execute segmentation. When the segmentation function 122 reads the signal from the system control function 121, it reads the volume data and the voxel threshold value from the storage circuit 11, and executes the segmentation process on the volume data. The generated volume rendering image is stored in the storage circuit 11.

  In step S14, the detection area specifying function 123 of the processing circuit 12 reads the volume data on which the segmentation process has been executed in S13 from the storage circuit 11, and defines the contact detection area of the tendon 31 and the bone fixation implant 32. More specifically, the detection region specifying function 123 receives a signal indicating that the detection regions of the tendon 31 and the bone fixation implant 32 are specified from the system control function 121 after the segmentation process. The detection area specifying function 123 reads the voxel value of the volume rendering image and detects a segment corresponding to the bone fixation implant 32. The detection area specifying function 123 defines a segment around the bone fixation implant 32 as a detection area.

  In step S15, the contact detection function 124 reads the detection area defined in S14 from the storage circuit 11, and detects whether or not the tendon 31 and the bone fixation implant 32 are in contact with each other. Dilation processing is performed for contact evaluation between the tendon 31 and the bone fixation implant 32. For example, when the voxel detected as the tendon 31 is included in a voxel having an arbitrary number of voxels from the voxel having the voxel value of the bone fixation implant 32, the tendon 31 is detected as being in contact with the bone fixation implant 32. The When contact between the tendon 31 and the bone fixation implant 32 is detected, the contact detection function 124 calculates contact information. The calculated contact information is stored in the storage circuit 11.

  In step S16, the risk information calculation function 126 reads the tear risk parameter including the contact information calculated in S15, and calculates risk information such as the tear probability of the tendon 31. The system control function 121 reads the calculated risk information of the tendon 31 and transmits a signal to be displayed on the display device 14. The operator refers to the risk information of the tendon 31 displayed on the display device 14 and examines whether or not the bone fixing implant 32 needs to be re-operated.

  Through the series of operations described above, contact information between the tendon 31 and the bone fixation implant 32 can be acquired from image data of a plurality of time phases, and risk information on the tendon 31 can be obtained using various tear risk parameters such as contact information. It becomes possible to calculate.

  FIG. 3 is a schematic diagram showing a contact state of the tendon 31 with the bone fixing implant 32 and the bone 33 in the left hand in a state where the wrist joint is bent and extended after the implant is fixed. In FIG. 3, the time phase indicating the time when the wrist joint is extended is defined as Phase 1, the time when the wrist joint is bent toward the palm side is defined as Phase 2, and the time when the wrist joint is flexed toward the back is defined as Phase 3. The bone fixing implant 32 is fixed to the bone 33 by a plurality of bone fixing bolts 34 to fix the fracture portion 35. In Phase 1, it is assumed that the tendon 31 and the bone fixation implant 32 are not in contact with each other. In Phase 2 and Phase 3, the wrist joint is bent from the palm side to the back side, so that the tendon 31 contacts the bone fixing implant 32 at the contact point C. When the tendon 31 and the tendon 31 come into contact with the edge of the wrist joint side of the bone fixation implant 32, the tendon 31 is lately broken by the repeated contact of the tendon 31 over a long period of time. It is clinically known to do. Further, the bone anchoring implant 32 is different from the tendon 31 in terms of surface properties and friction coefficient. For this reason, it is known that the tendon 31 may be worn by contact with a surface region other than the edge portion of the bone anchoring implant 32 and may be torn late. A method for detecting contact between the tendon 31 and the bone fixation implant 32 will be described in detail in the following description with reference to FIG.

  FIG. 4 is an explanatory diagram relating to a dilation process that is an example of a technique for detecting contact between the tendon 31 and the bone fixation implant 32. FIG. 4 shows a contact state between the tendon 31 and the bone fixation implant 32 in Phase 2 when bending from Phase 1 to the palm side. In the enlarged view of the contact area in FIG. 4, a dilation voxel area 41 for detecting contact between the tendon 31 and the bone fixation implant 32 is shown. When the voxel of the tendon 31 exists in the dilation voxel region 41, the tendon 31 and the bone fixation implant 32 are detected as being in contact with each other.

  FIG. 5 is a diagram illustrating an example of risk information display of the tendon 31 displayed on the display device 14. A display screen 51, a tear risk parameter table 52, and a risk information output table 53 are displayed on the display device 14. The risk information of the tendon 31 includes a tear probability of the tendon 31. On the display screen 51 displayed on the display device 14, for example, tendons 31 of the thumb, index finger, middle finger, ring finger, and little finger are indicated by tendons 31a, 31b, 31c, 31d, and 31e, respectively. The display screen 51 shows a state in which tendons other than the tendon 31a are in contact with the bone fixing implant 32 at the contact location C. The tear risk parameter table 52 displays various tear risk parameters such as contact area, contact time, contact tendon diameter, medical history, and material of the bone fixation implant 32. The risk information of each tendon is calculated by the risk information calculation function 126 from the tear risk parameter displayed in the tear risk parameter table 52 and displayed in the risk information output table 53. The operator can confirm the contact state of the bone fixation implant 32 with the tendon 31 after the operation from the volume rendering image on the display screen 51 and can refer to the risk information displayed in the risk information output table 53. . The risk information includes a tear probability for each elapsed period after the operation of the tendon 31. For example, the risk information output table 53 displays the probability of rupture after 5 years, 3 years, 1 year, 3 months, and 1 month corresponding to each of the tendons 31a to 31e. The operator examines whether or not there is a need for re-operation for the bone fixation implant 32 from the risk information. As the volume rendering image on the display screen 51, for example, a phase image with a large contact is extracted from a plurality of time phase volume rendering images and displayed.

  FIG. 6 shows an example of an emphasis display screen of the tendon 31 in a contact state between the tendon 31 and the bone fixation implant 32. The display control function 127 highlights on the display screen 62 on the display device 14 the tendon 31 having a certain risk of tearing among the tendons 31 of each finger. The highlighting includes displaying a tendon 31 with a certain risk of tearing larger than a certain tendon 31 in comparison with other tendons 31, blinking display, changing color, and the like. Further, as shown in the display screen 62, a configuration in which the contact state of a tendon with a large contact state is displayed from an easy-to-understand angle may be provided. For example, it is suitable to display the contact between the tendon 31 and the bone fixation implant 32 at the wrist joint at an angle at which the wrist joint is observed from the side. Further, as another display example for displaying the risk information, for example, a color map display of the risk information on the tendon 31 in contact with the bone fixation implant 32 can be considered. In the color map display, for example, colors are assigned according to the level of the risk information value and displayed on the tendon 31. Further, as shown on the display screen 61, a volume rendering image at the time of extension of the wrist joint before bending may be displayed on the display device 14 for comparison with the time of bending.

  In the present embodiment, the description has been given by taking, as an example, image data of a plurality of time phases captured by an X-ray CT apparatus, but the present embodiment is not limited to image data of a plurality of time phases. For example, a configuration using a plurality of 3D image data captured at an arbitrary timing designated by the user may be used. In addition, the operator may have a configuration in which contact is detected using only 3D image data at the bending angle of the joint predicted by the operator that the contact between the tendon 31 and the bone fixation implant 32 is large, or a specific time phase. It is also possible to take a configuration in which only the 3D image data is taken and the contact is detected using only the 3D image data. The number of 3D image data and the interval between 3D image data used in the present embodiment can be arbitrarily set by the operator according to the type of imaging region, the disease to be evaluated by the operator, the function of each region, etc. May have.

  In the present embodiment, the case where the contact between the tendon 31 and the bone fixation implant 32 is detected has been described. However, the contact target of the bone fixation implant 32 is not limited to the tendon 31 and may be a substantially cylindrical living organ. For example, a blood vessel or the like may be used. In addition, the contact target of the living organ such as the tendon 31 is not limited to the bone fixing implant 32, and may be any artificial object that is implanted in the living body.

  According to the embodiment described above, contact between the tendon 31 and the bone fixation implant 32 at the joint site of the subject is detected using the segmentation region specified from the 4D scan data of the subject, and the contact information It is possible to calculate risk information such as a delayed tendon tearing probability using a tear risk parameter such as, and display the risk information on the display device 14. The operator can examine the necessity of re-operation of the bone fixation implant 32 with reference to the displayed risk information of the tendon 31.

  Storage circuit 11, processing circuit 12, system control function 121, segmentation function 122, detection area specifying function 123, contact detection function 124, image processing function 125, risk information calculation function 126, display control function 127, input device in each embodiment 13 and display device 14 respectively correspond to storage unit 11, processing unit 12, system control unit 121, segmentation unit 122, detection region specifying unit 123, contact detection unit 124, image processing unit 125, risk information calculation unit 126, display control. It may be realized by the unit 127, the input unit 13, and the display unit 14. Note that the components described as “units” in this embodiment may be realized by hardware, software, or hardware and software. It may be realized by a combination.

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

  DESCRIPTION OF SYMBOLS 1 ... Medical image processing apparatus, 2 ... Medical image diagnostic apparatus, 3 ... Image server, 11 ... Memory circuit, 12 ... Processing circuit, 121 ... System control function, 122 ... Segmentation function, 123 ... Detection area specification function, 124 ... Contact Detection function, 125 ... Image processing function, 126 ... Risk information calculation function, 127 ... Display control function, 13 ... Input device, 14 ... Display device, 31 ... Tendon, 32 ... Implant for bone fixation, 33 ... Bone, 34 ... Bone Fixing bolt, 35 ... fracture portion, 41 ... dilation voxel region, 51 ... display screen, 52 ... tearing risk parameter table, 53 ... risk information output table, 61 ... display screen, 62 ... display screen

Claims (15)

A volume data acquisition unit for acquiring the volume data of the subject;
Based on the volume data, a segmentation unit that identifies a first region that is a region corresponding to a living organ and a second region that is a region corresponding to an artifact,
A detection area specifying unit for specifying a detection area of contact between the first area and the second area in the volume data;
Contact information acquisition in which the detection region specifying unit acquires contact information between the first region and the second region by detecting contact between the first region and the second region in the specified detection region. And
A medical image processing apparatus comprising: A risk information calculation unit that calculates risk information related to the tear probability of the first region based on the contact information;
A display unit for displaying information such as the risk information;
The medical image processing apparatus according to claim 1, further comprising: It further has a storage unit for storing the diagnostic information of the subject acquired in advance,
The medical image processing apparatus according to claim 2, wherein the risk information is calculated based on the diagnosis information in addition to the contact information.   The image displayed on the display unit includes a volume rendering image that is visible in a direction parallel to the contact surface of the first region and the second region and from a direction perpendicular to the direction of travel of the first region. The medical image processing apparatus according to at least one of claims 2 and 3. When there are a plurality of the first areas in the volume data,
4. The at least one of claims 2 and 3, wherein the image displayed on the display unit highlights the first region having the risk information equal to or greater than a threshold value from among the plurality of first regions. Medical image processing apparatus. In the case where a plurality of the first areas exist in the volume data,
4. The medical image processing apparatus according to claim 2, wherein the risk information is displayed in a color map for each of the plurality of first regions in the image displayed on the display unit. 5. In the medical image processing apparatus, the volume data is acquired in at least two or more time phases.
The risk information calculation unit obtains the risk information for each of a plurality of time phase volume data,
The medical image processing apparatus according to claim 2, wherein the image displayed on the display unit displays a volume rendering image in a time phase in which the risk information is the largest.   The medical image processing apparatus according to claim 1, wherein the volume data is acquired in a plurality of time phases of at least two or more.   The medical image processing apparatus according to claim 8, wherein the contact information is a contact time between the first area and the second area.   The medical image processing apparatus according to claim 1, wherein the detection area is an area within a predetermined distance from the second area.   The medical image processing apparatus according to claim 1, wherein the contact information is a contact area between the first region and the second region.   The medical image processing apparatus according to claim 3, wherein the diagnosis information is an index value of the first region.   The medical image processing apparatus according to claim 12, wherein the index value is a value indicating a diameter of the first region.   The medical image processing apparatus according to claim 12, wherein the diagnosis information is information related to a material of the second region.   The medical image processing apparatus according to claim 12, wherein the diagnosis information is medical history information of the subject.

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