Medical image processing system, program, and method

Abstract

To facilitate grasping a correspondence between a position where a value of a blood flow parameter is derived and a position on a coronary artery.SOLUTION: A medical image processing system according to an embodiment, which acquires a medical image acquired by a medical image diagnostic apparatus, via a network, comprises an acquisition unit, an analysis unit, and a display control unit. The acquisition unit acquires medical image data concerning a coronary artery of a subject from the medical image diagnostic apparatus. The analysis unit derives a value of a blood flow parameter expressing the hemodynamics of the coronary artery based on the medical image data. The display control unit displays a shape of the coronary artery and information showing variation of the value of the blood flow parameter along the coronary artery together, with a distance direction along the coronary artery as a lateral axis. The display control unit shows a first marker, a second marker, and a third marker at positions corresponding to the lateral axis in the display and further shows a cross-section image of the coronary artery at the position of the first marker.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The embodiments disclosed in this specification and the drawings relate to a medical image processing system, a program, and a method. [Background technology]

[0002] Conventionally, there is known a technique for deriving values ​​of blood flow parameters that represent hemodynamics of a coronary artery based on medical image data generated by a medical imaging diagnostic device such as an X-ray CT (Computed Tomography) device. Generally, in order to determine the relationship between the morphology of a coronary artery and the blood flow parameters and the necessity of treatment based on the values ​​of such blood flow parameters, it is necessary to know the actual position on the coronary artery from which the value of the blood flow parameter is derived. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] US Patent Application Publication No. 2019 / 0209114 [Patent Document 2] US Patent Application Publication No. 2015 / 0228115 [Patent Document 3] US Patent Application Publication No. 2017 / 0032097 Summary of the Invention [Problem to be solved by the invention]

[0004] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to easily grasp the correspondence between the position where the value of a blood flow parameter is derived and the position on the coronary artery. However, the problem to be solved by the embodiments disclosed in this specification and the drawings is not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described below can also be positioned as other problems. [Means for solving the problem]

[0005] A medical image processing system according to an embodiment acquires medical images acquired by a medical image diagnostic device via a network, and includes an acquisition unit, an analysis unit, and a display control unit. The acquisition unit acquires medical image data relating to a coronary artery of a subject from the medical image diagnostic device. The analysis unit derives values ​​of blood flow parameters representing hemodynamics of the coronary artery based on the medical image data. The display control unit displays the shape of the coronary artery and information indicating changes in the values ​​of the blood flow parameters along the coronary artery, with the horizontal axis representing the distance along the coronary artery. The display control unit displays a first marker, a second marker, and a third marker at positions corresponding to the horizontal axis on the display, and further displays a cross-sectional image of the coronary artery at the position of the first marker. [Brief explanation of the drawings]

[0006] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a medical image processing system according to the first embodiment. [Figure 2] FIG. 2 is a diagram showing an example of information display performed by the display control function according to the first embodiment. [Figure 3] FIG. 3 is a flowchart showing the processing procedure of the processing performed by the medical image processing apparatus according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of information display performed by the display control function according to the first modified example. [Figure 5] FIG. 5 is a diagram showing an example of information display performed by the display control function according to the second modified example. [Figure 6] FIG. 6 is a diagram showing an example of information display performed by a display control function according to the third modified example. [Figure 7] FIG. 7 is a diagram showing an example of information display performed by a display control function according to the fourth modified example. [Figure 8] FIG. 8 is a diagram showing an example of information display performed by a display control function according to the fifth modified example. [Figure 9]FIG. 9 is a diagram showing an example of information display performed by a display control function according to the sixth modified example. [Figure 10] FIG. 10 is a diagram showing an example of information display performed by a display control function according to the seventh modification. [Figure 11] FIG. 11 is a diagram showing an example of information display performed by a display control function according to the eighth modification. [Figure 12] FIG. 12 is a diagram showing an example of information display performed by a display control function according to the ninth modification. [Figure 13] FIG. 13 is a diagram showing an example of information display performed by a display control function according to the tenth modification. [Figure 14] FIG. 14 is a diagram showing an example of information display performed by a display control function according to the eleventh modification. [Figure 15] FIG. 15 is a diagram showing an example of information display performed by a display control function according to the twelfth modification. [Figure 16] FIG. 16 is a diagram showing an example of information display performed by a display control function according to the thirteenth modification. [Figure 17] FIG. 17 is a diagram showing an example of information display performed by a display control function according to the fourteenth modification. [Figure 18] FIG. 18 is a diagram showing an example of information display performed by a display control function according to the sixteenth modification. [Figure 19] FIG. 19 is a diagram showing an example of information display performed by a display control function according to the sixteenth modification. [Figure 20] FIG. 20 is a diagram showing an example of information display performed by a display control function according to the sixteenth modification. [Figure 21] FIG. 21 is a diagram showing an example of the configuration of a medical image processing system according to the second embodiment. [Figure 22] FIG. 22 is a diagram showing an example of the configuration of an X-ray CT apparatus according to the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0007] Hereinafter, embodiments of a medical image processing apparatus, a program, and a system will be described with reference to the drawings.

[0008] In the following embodiment, an example will be described in which CT image data generated by an X-ray CT apparatus is used as medical image data.

[0009] (First embodiment) FIG. 1 is a diagram showing an example of the configuration of a medical image processing system according to the first embodiment.

[0010] 1, a medical image processing system 100 according to this embodiment includes an X-ray CT apparatus 110 and a medical image processing apparatus 120. Here, each apparatus is connected to each other via a network 130 so as to be able to communicate with each other.

[0011] The X-ray CT device 110 generates CT image data related to a subject. Specifically, the X-ray CT device 110 detects X-rays transmitted through the subject and collects projection data while rotating an X-ray tube and an X-ray detector substantially centered on the subject. The X-ray CT device 110 then generates CT image data based on the collected projection data.

[0012] The medical image processing device 120 acquires CT image data from the X-ray CT device 110 via the network 130 and performs various image processing based on the acquired CT image data. For example, the medical image processing device 120 is realized by computer equipment such as a server, a workstation, or a personal computer.

[0013] Then, the medical image processing apparatus 120 derives values ​​of blood flow parameters that represent hemodynamics of the coronary arteries based on the CT image data relating to the coronary arteries of the subject.

[0014] Generally, in order to determine the relationship between the shape of the coronary artery and the blood flow parameters and the need for treatment based on the values ​​of such blood flow parameters, it is necessary to understand the actual position on the coronary artery where the value of the blood flow parameter is derived.

[0015] Therefore, in this embodiment, the medical image processing device 120 displays information showing the changes in the values ​​of blood flow parameters along the coronary arteries in a graph with the values ​​of the blood flow parameters on the vertical axis and the distance direction along the coronary arteries on the horizontal axis, and further displays auxiliary information showing the structure of the coronary arteries together with the graph.

[0016] According to this configuration, by displaying auxiliary information showing the structure of the coronary arteries together with a graph showing the changes in the values ​​of the blood flow parameters, it becomes possible to easily understand the correspondence between the positions where the values ​​of the blood flow parameters are derived and positions on the coronary arteries.

[0017] The configuration of such a medical image processing apparatus 120 will be described in detail below.

[0018] For example, as shown in FIG. 1, a medical image processing apparatus 120 includes a network (NW) interface 121, a storage circuitry 122, an input interface 123, a display 124, and a processing circuitry 125.

[0019] The NW interface 121 is connected to the processing circuit 125 and controls data communication with other devices via the network 130. Specifically, the NW interface 121 controls transmission and reception of various data with other devices and systems under the control of the processing circuit 125. For example, the NW interface 121 is realized by a network card, a network adapter, a NIC (network interface controller), or the like.

[0020] The memory circuitry 122 is connected to the processing circuitry 125 and stores various data. Specifically, the memory circuitry 122 stores various data and reads and updates the stored data under the control of the processing circuitry 125. For example, the memory circuitry 122 is realized by a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, or the like.

[0021] The input interface 123 is connected to the processing circuit 125 and accepts input operations of various instructions and information from an operator. Specifically, the input interface 123 converts the input operations accepted by the operator into electrical signals and outputs the electrical signals to the processing circuit 125. For example, the input interface 123 may be realized by a trackball, switch buttons, a mouse, a keyboard, a touchpad that performs input operations by touching the operation surface, a touchscreen that integrates a display screen and a touchpad, a non-contact input circuit using an optical sensor, an audio input circuit using a microphone, etc. Note that in this specification, the input interface 123 is not limited to those that have physical operation components such as a mouse or 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 a control circuit is also included as an example of the input interface 123.

[0022] The display 124 is connected to the processing circuit 125 and displays various types of information and data. Specifically, the display 124 converts the various types of information and data into electrical signals for display and outputs them under the control of the processing circuit 125. For example, the display 124 is realized by an LCD (Liquid Crystal Display), a touch panel, or the like.

[0023] The processing circuitry 125 controls the operation of the medical image processing apparatus 120 in response to input operations received from an operator via the input interface 123 .

[0024] Specifically, the processing circuit 125 has an acquisition function 125a, an analysis function 125b, and a display control function 125c. The acquisition function 125a is an example of an acquisition unit. The analysis function 125b is an example of an analysis unit. The display control function 125c is an example of a display control unit.

[0025] The acquisition function 125a acquires CT image data relating to the coronary arteries of a subject.

[0026] Specifically, the acquisition function 125a acquires CT image data from the X-ray CT apparatus 110 via the network 130. Then, the acquisition function 125a stores the acquired CT image data in the storage circuitry 122.

[0027] The analysis function 125b derives values ​​of blood flow parameters that represent hemodynamics of the coronary arteries based on the CT image data acquired by the acquisition function 125a.

[0028] Specifically, the analysis function 125b reads out the CT image data acquired by the acquisition function 125a from the storage circuitry 122, and derives the values ​​of the blood flow parameters based on the read out CT image data.

[0029] Here, various known parameters can be used as the blood flow parameters. For example, the analysis function 125b may derive values ​​of pressure parameters such as FFR (Fractional Flow Reserve), iFR (Instantaneous Wave-Free Ratio), and QFR (Quantitative Flow Ratio) as the blood flow parameter values, or may derive flow velocity, pressure ratio, vorticity, kinetic energy, turbulence intensity, shear stress, etc. Alternatively, the analysis function 125b may derive the gradient of any of these parameters as the blood flow parameter values. Here, the derived gradient may be a gradient in the distance direction along the coronary artery, or a gradient in any other direction.

[0030] Various known methods can also be used to derive the blood flow parameters. For example, the analysis function 125b derives the blood flow parameters through simulation calculations using a known fluid analysis technique. Alternatively, the analysis function 125b may derive the blood flow parameters using a trained model that inputs CT image data related to a coronary artery and outputs blood flow parameters related to the coronary artery. In this case, for example, the trained model is created in advance by machine learning using the CT image data related to the coronary artery and blood flow parameters representing the hemodynamics of the coronary artery as training data, and is stored in the memory circuitry 122. Here, various machine learning methods can be used, such as deep learning, nonlinear discriminant analysis, support vector machines, random forests, and naive Bayes.

[0031] Furthermore, the analysis function 125b derives values ​​of morphological parameters representing the morphology of the coronary arteries based on the CT image data.

[0032] Specifically, the analysis function 125b reads out the CT image data acquired by the acquisition function 125a from the storage circuitry 122, and derives the values ​​of the morphological parameters based on the read out CT image data.

[0033] Here, various known parameters can be used as the morphological parameters. For example, the analysis function 125b may derive a blood vessel cross-sectional area, a blood vessel lumen diameter, etc. as the morphological parameter values, or may derive a stenosis rate, a ratio of the blood vessel cross-sectional area to a reference cross-sectional area, etc. Furthermore, for example, the analysis function 125b may derive an eccentricity index value, a measurement value of the blood vessel wall (a lumen contour or a wall contour), a remodeling index value, a cross-sectional plaque burden value, etc. as the morphological parameter values.

[0034] Furthermore, various known methods can be used to derive the morphological parameters. For example, the analysis function 125b derives the morphological parameters using a known image analysis technique. Alternatively, for example, the analysis function 125b may derive the morphological parameters using a trained model that inputs CT image data of a coronary artery and outputs morphological parameters of the coronary artery. In this case, for example, the trained model is created in advance by machine learning using the CT image data of the coronary artery and morphological parameters representing the shape of the coronary artery as training data, and is stored in the storage circuitry 122. Here, various machine learning techniques can be used, such as deep learning, nonlinear discriminant analysis, support vector machines, random forests, and naive Bayes.

[0035] The display control function 125c displays information showing the change in the value of the blood flow parameter along the coronary artery, derived by the analysis function 125b, on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays auxiliary information showing the structure of the coronary artery together with the graph.

[0036] Specifically, the display control function 125c displays on the display 124 a graph showing the change in the value of the blood flow parameter derived by the analysis function 125b along the coronary artery, and auxiliary information showing the structure of the coronary artery.

[0037] In this embodiment, the display control function 125c further displays, in the graph, information indicating the change in the values ​​of the morphological parameters along the coronary arteries as auxiliary information indicating the structure of the coronary arteries.

[0038] For example, the display control function 125c further displays information indicating changes in the cross-sectional area of ​​the blood vessel in the graph as auxiliary information indicating the structure of the coronary artery.

[0039] FIG. 2 is a diagram showing an example of information display performed by the display control function 125c according to the first embodiment.

[0040] For example, as shown in FIG. 2, the display control function 125c displays a curve showing the change in FFR for a section of the coronary artery selected by the operator in graph 2a, with the FFR value on the vertical axis and the distance from the coronary artery entrance (Distance from ostia) on the horizontal axis.

[0041] Then, for example, the display control function 125c further displays on the graph 2a a curve indicating the change in the blood vessel cross-sectional area (Area [mm]) along the coronary artery as auxiliary information indicating the structure of the coronary artery in that section.

[0042] With this display, changes in FFR along the coronary artery and changes in vascular cross-sectional area are displayed on a single graph 2a, making it easy to understand the correlation between FFR and vascular cross-sectional area at each position in the coronary artery.

[0043] Here, for example, the processing circuitry 125 is realized by a processor. In this case, each processing function possessed by the processing circuitry 125 is stored in the storage circuitry 122 in the form of a program executable by a computer. The processing circuitry 125 then reads each program from the storage circuitry 122 and executes it to realize the processing function corresponding to each program. In other words, the processing circuitry 125 has each processing function shown in FIG. 1 when each program has been read.

[0044] FIG. 3 is a flowchart showing the processing procedure performed by the medical image processing apparatus 120 according to the first embodiment.

[0045] For example, as shown in FIG. 3, in this embodiment, when the acquisition function 125a receives an instruction to start processing from the operator via the input interface 123 (step S101, Yes), it acquires CT image data related to the coronary arteries of the subject (step S102).

[0046] The processes of steps S101 and S102 are realized, for example, by the processing circuitry 125 reading out from the storage circuitry 122 a program corresponding to the acquisition function 125a and executing it.

[0047] Thereafter, the analysis function 125b reads out the CT image data acquired by the acquisition function 125a from the storage circuitry 122, and derives values ​​of blood flow parameters representing the hemodynamics of the coronary arteries based on the read-out CT image data (step S103). Furthermore, the analysis function 125b derives values ​​of morphological parameters representing the morphology of the coronary arteries based on the CT image data read out from the storage circuitry 122 (step S104).

[0048] The processes in steps S103 and S104 are realized, for example, by the processing circuitry 125 reading out from the storage circuitry 122 a program corresponding to the analysis function 125b and executing it.

[0049] Then, the display control function 125c displays, in a graph, information indicating the change in the value of the blood flow parameter along the coronary artery, derived by the analysis function 125b (step S105). Furthermore, the display control function 125c further displays, in a graph on the display 124, information indicating the change in the value of the morphological parameter along the coronary artery, derived by the analysis function 125b (step S106).

[0050] The processes of steps S105 and S106 are realized by, for example, the processing circuitry 125 reading out from the storage circuitry 122 a program corresponding to the display control function 125c and executing it.

[0051] As described above, in the first embodiment, the display control function 125c displays information showing changes in the values ​​of blood flow parameters along the coronary arteries on a graph with the values ​​of the blood flow parameters on the vertical axis and the distance direction along the coronary arteries on the horizontal axis, and further displays auxiliary information showing the structure of the coronary arteries together with the graph. With this configuration, by referring to the auxiliary information together with the graph, it is possible to easily grasp the correspondence between the positions where the values ​​of the blood flow parameters are derived and the positions on the coronary arteries. As a result, it becomes easier to formulate a treatment plan.

[0052] In the first embodiment, the display control function 125c further displays information indicating the change in the values ​​of the morphological parameters along the coronary arteries as auxiliary information indicating the structure of the coronary arteries. With this configuration, the correlation between the values ​​of the blood flow parameters at each position of the coronary arteries and the morphology of the blood vessels can be easily understood.

[0053] For example, in the case of coronary arteries, morphology and hemodynamics may be at odds, such as "apparent stenosis but no decrease in FFR." Therefore, in order to determine a treatment plan, it is important to observe not only the FFR distribution but also the correlation between FFR and vascular morphology. For example, when an image of a coronary artery is displayed together with a graph showing changes in FFR, the vascular morphology must be visually interpreted from the image, which can make it difficult to grasp the relationship between morphology and FFR at each position in the coronary artery. In contrast, in the first embodiment, for example, changes in FFR and changes in vascular cross-sectional area along the coronary artery are displayed on a single graph, making it easy to grasp the correlation between FFR and vascular cross-sectional area at each position in the coronary artery.

[0054] In the first embodiment described above, an example is described in which information indicating changes in the values ​​of blood flow parameters and morphological parameters is displayed in a graph, but the example of information display performed by the display control function 125c is not limited to this. Therefore, hereinafter, a modified example of information display performed by the display control function 125c will be described.

[0055] (First Modification) For example, the display control function 125c may further display, in a graph, information indicating changes in the stenosis rate along the coronary artery as auxiliary information indicating the structure of the coronary artery.

[0056] FIG. 4 is a diagram showing an example of information display performed by the display control function 125c according to the first modified example.

[0057] For example, as shown in Fig. 4, the display control function 125c further displays a curve showing the change in the stenosis rate (% stenosis) along the coronary artery for the corresponding section of the coronary artery on the graph 2a in addition to the information in the example shown in Fig. 2. Here, the stenosis rate becomes large where the cross-sectional area of ​​the blood vessel is locally reduced.

[0058] According to this display, the change in FFR along the coronary artery and the stenosis rate are displayed on a single graph 2a, so that the relationship between the degree of stenosis of the coronary artery and the decrease in FFR can be grasped in detail.

[0059] (Second Modification) Furthermore, for example, the display control function 125c may further display a color bar in which a color is assigned according to the value of the blood flow parameter for each position in the distance direction along the coronary artery.

[0060] FIG. 5 is a diagram showing an example of information display performed by the display control function 125c according to the second modified example.

[0061] For example, as shown in Fig. 5, the display control function 125c displays a rectangular color bar 5a in which a color is assigned according to the FFR value for each position in the distance direction along the coronary artery (FFR as color bar), in addition to the information in the example shown in Fig. 2. In this case, for example, the display control function 125c sets the length of the color bar 5a so that the horizontal axis of the graph 2a showing changes in FFR and vascular cross-sectional area matches the scale in the distance direction, and arranges the graph 2a and the color bar 5a side by side so that their respective positions in the distance direction match.

[0062] According to such a display, by further referring to the color bar 5a, the correlation between the FFR and the cross-sectional area of ​​the blood vessel at each position in the coronary artery can be more easily grasped.

[0063] (Third Modification) Also, for example, the display control function 125c may display a color bar in a manner that represents the shape of the coronary arteries.

[0064] FIG. 6 is a diagram showing an example of information display performed by the display control function 125c according to the third modified example.

[0065] For example, as shown in Fig. 6, the display control function 125c displays a color bar 6a in which a color corresponding to the FFR value is assigned to each position in the distance direction along the coronary artery, similar to the example shown in Fig. 5. At this time, for example, the display control function 125c extracts the cross-sectional shape of the coronary artery in that section based on the CT image data acquired by the acquisition function 125a, and shapes and displays the color bar 6a so as to represent the extracted cross-sectional shape (FFR as color bar (schematic)).

[0066] According to such a display, by further referring to the color bar 6a representing the shape of the coronary artery, the correlation between the FFR and the cross-sectional area of ​​the blood vessel at each position of the coronary artery can be more intuitively grasped.

[0067] (Fourth Modification) Furthermore, for example, the display control function 125c may further display a tomographic image along the distance direction of the coronary artery, and display a marker indicating the position in the distance direction at a corresponding position on each of the graph and the tomographic image.

[0068] FIG. 7 is a diagram showing an example of information display performed by the display control function 125c according to the fourth modified example.

[0069] For example, as shown in Fig. 7, the display control function 125c displays a CPR (Curved Planar Reconstruction) image 7a of the coronary artery in the relevant section in addition to the information in the example shown in Fig. 2. At this time, for example, the display control function 125c generates the CPR image 7a in the relevant section based on the CT image data acquired by the acquisition function 125a, and displays the generated CPR image 7a alongside a graph 2a showing changes in FFR and vascular cross-sectional area.

[0070] Then, for example, the display control function 125c displays a marker 7b (an arrow-shaped figure shown in FIG. 7) indicating a position in the distance direction along the coronary artery on the graph 2a showing changes in FFR and vascular cross-sectional area. At this time, the display control function 125c may display the marker 7b on the cross-sectional area curve (Optional marker of area position) or on the FFR curve. At the same time, the display control function 125c also displays a marker 7c on the CPR image 7a at a position corresponding to the position of the marker 7b displayed on the graph.

[0071] Here, for example, the display control function 125c receives an operation from the operator to move one of the markers 7b and 7c displayed on the graph 2a and the CPR image 7a. Then, upon receiving this operation, the display control function 125c moves the other marker to a position corresponding to the position of the moved marker. As a result, the display control function 125c moves the marker 7b displayed on the graph 2a showing changes in FFR and vascular cross-sectional area and the marker 7c displayed on the CPR image 7a in a coordinated manner so that they point to the same position in the distance direction.

[0072] According to such a display, by referring to the markers 7b and 7c displayed on the graph 2a and the CPR image 7a, respectively, it is possible to more easily grasp the correspondence between the position where the FFR is derived and the position on the coronary artery.

[0073] (Fifth Modification) Furthermore, for example, the display control function 125c may further display auxiliary information indicating the structure of the coronary arteries together with the tomographic image.

[0074] FIG. 8 is a diagram showing an example of information display performed by the display control function 125c according to the fifth modified example.

[0075] For example, as shown in Fig. 8, the display control function 125c displays a graph 8a showing changes in the cross-sectional area of ​​blood vessels along the coronary arteries alongside a CPR image 7a as auxiliary information showing the structure of the coronary arteries, in addition to the information in the example shown in Fig. 7. At this time, the display control function 125c sets the horizontal axis of the graph 8a so that the scale in the distance direction matches that of the CPR image 7a, and arranges the CPR image 7a and the graph 8a alongside each other so that their positions in the distance direction match.

[0076] 7, the display control function 125c displays a marker 7b indicating a position in the distance direction along the coronary artery on the graph 2a showing changes in FFR and vascular cross-sectional area, and also displays a marker 8b at a corresponding position on the graph 8a of vascular cross-sectional area displayed alongside the CPR image 7a. When the display control function 125c receives an operation from the operator to move one of the markers, it moves the other marker to a position corresponding to the position of the moved marker. As a result, the display control function 125c moves the marker 7b displayed on the graph 2a showing changes in FFR and vascular cross-sectional area and the marker 8b displayed on the graph 8a of vascular cross-sectional area displayed alongside the CPR image 7a in a coordinated manner so that they indicate the same position in the distance direction.

[0077] According to such a display, by referring to the graph 8a showing the change in the cross-sectional area of ​​the blood vessel together with the CPR image 7a, it is possible to grasp in more detail the correspondence between the position where the FFR is derived and the position on the coronary artery.

[0078] (Sixth Modification) Furthermore, for example, the display control function 125c may display multiple markers on the graph showing changes in FFR and vascular cross-sectional area and on the tomographic image of the coronary artery along the distance direction as markers indicating positions in the distance direction along the coronary artery, and may display the values ​​of the blood flow parameters and the morphological parameters at each position where the marker is displayed.

[0079] FIG. 9 is a diagram showing an example of information display performed by the display control function 125c according to the sixth modified example.

[0080] For example, as shown in Fig. 9, the display control function 125c displays three markers 9a to 9c on the graph 2a shown in Fig. 7, and displays three markers 9d to 9f on the CPR image 7a shown in Fig. 7. At this time, the display control function 125c displays the three markers so as to indicate three different positions in the distance direction along the coronary arteries on each of the graph 2a and the CPR image 7a. Here, for example, when the display control function 125c receives an operation from the operator to move a marker displayed on one of the graph 2a and the CPR image 7a, it moves the marker at the corresponding position on the other in conjunction with the operation.

[0081] Then, for example, the display control function 125c displays the cross-sectional area value, stenosis rate (% stenosis), and FFR value (FFR Value) at each of the three positions indicated by the three markers displayed on the graph 2a and the CPR image 7a. Furthermore, for example, the display control function 125c displays the difference in FFR (ΔFFR=xxx) between the positions indicated by each pair of adjacent markers. Here, for example, the display control function 125c may further display cross-sectional images at each position indicated by the markers.

[0082] For example, the display control function 125c displays a first marker 9a on the graph 2a at a position designated by the operator, a second marker 9b at a position a predetermined distance (e.g., 5 mm) upstream of the coronary artery from the position of the first marker 9a, and a third marker 9c at a position a predetermined distance (e.g., 5 mm) downstream of the coronary artery from the position of the first marker 9a. The display control function 125c also displays three markers 9d to 9f on the CPR image 7a at positions corresponding to the three markers 9a to 9c displayed on the graph 2a.

[0083] Alternatively, for example, the display control function 125c displays a first marker 9a at the position where the stenosis rate of the coronary artery is greatest (maximum stenosis cross-section) on the graph 2a, a second marker 9b at a position a predetermined distance upstream of the coronary artery from the position of the first marker 9a (proximal cross-section), and a third marker 9c at a position closest to the end downstream of the coronary artery from the position of the first marker 9a (distal cross-section).The display control function 125c also displays three markers 9d to 9f on the CPR image 7a at positions corresponding to the three markers 9a to 9c displayed on the graph 2a.

[0084] In this example, for example, the degree of influence of a stenosis can be grasped by comparing the FFR at the position of the first marker 9a with the FFR at the position of the second marker 9b. Also, by comparing the FFR value at the position of the first marker 9a with the FFR value at the position of the third marker 9c, it can be determined whether there is a stenosis other than the stenosis at the position of the first marker 9a that is having an adverse effect.

[0085] Although the example in which the display control function 125c displays three markers on each of the graph 2a and the CPR image 7a has been described, this modification is not limited to this. For example, the display control function 125c may display four markers or four or more markers on each of the graph 2a and the CPR image 7a.

[0086] According to such a display, by using a plurality of markers, the influence of stenosis occurring in the coronary arteries can be easily grasped.

[0087] (Seventh Modification) In addition, in the above-mentioned first embodiment, an example was described in which auxiliary information indicating the structure of the coronary arteries is displayed together with a graph showing changes in the values ​​of blood flow parameters. However, for example, instead of the auxiliary information indicating the structure of the coronary arteries, information indicating the segments of the coronary arteries may be displayed.

[0088] In this case, the display control function 125c displays information showing the change in the value of the blood flow parameter derived by the analysis function 125b along the coronary artery on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays information showing the segment of the coronary artery on the horizontal axis of the graph.

[0089] FIG. 10 is a diagram showing an example of information display performed by the display control function 125c according to the seventh modification.

[0090] For example, as shown in FIG. 10, the display control function 125c displays a curve showing the change in FFR along the coronary artery for a section of the coronary artery selected by the operator in graph 2a, with the vertical axis representing FFR and the horizontal axis representing the distance from the coronary artery entrance (Distance from ostia).

[0091] Then, for example, the display control function 125c further displays numbers indicating the coronary artery segments ("5", "6", "7", and "10" shown in FIG. 10) 10a on the horizontal axis of the graph 2a as information indicating the coronary artery segments in the section.

[0092] Here, for example, the display control function 125c uses numbers "1" to "15" indicating segments of the coronary arteries classified by the American Heart Association (AHA) as follows:

[0093] 1: From the base of the right coronary artery (RCA) to the right ventricular branch (RVB) 2: Right ventricular branch (RVB) ~ Aute Marginal Branch (AM) 3: Acute marginal branch (AM) ~ Posterior descending branch (PD) 4: Atrio-Ventricular (AV), posterior descending branch (PD) 5:Left Main Truck (LMT) 6: Left main trunk (LMT) to first septal branch (SB) 7: First septal branch (SB) to second diagonal branch (D2) 8: Second diagonal branch (D2) to distal left anterior descending branch (LAD) 9: First Diagonal Branch (D1) 10: Second diagonal branch (D2) 11: Left main trunk (LMT) ~ Obtuse Marginal (OM) 12: Obtuse branch (OM) 13: Obtuse branch (OM) ~ Posterior Lateral branch (PL) 14: Posterior wall branch (PL) 15: Posterior Descending (PD)

[0094] Furthermore, for example, the display control function 125c displays a three-dimensional image (volume image) 10b of the subject's heart alongside the graph 2a. At this time, for example, the display control function 125c generates the three-dimensional image 10b of the subject's heart based on the CT image data acquired by the acquisition function 125a.

[0095] According to such a display, doctors and the like can easily grasp the spatial position on the coronary arteries by referring to segment information that is generally familiar to them.

[0096] (Eighth Modification) FIG. 11 is a diagram showing an example of information display performed by the display control function 125c according to the eighth modified example.

[0097] Furthermore, for example, as shown in FIG. 11, the display control function 125c may display an image 11a showing the positions of segments in a standard schematic diagram of the heart alongside the graph 2a, instead of the three-dimensional image 10b.

[0098] Such a display allows the spatial position on the coronary arteries to be more intuitively understood by further referring to a schematic diagram of the heart showing the positions of the segments.

[0099] (Ninth Variation) In the first embodiment described above, an example was described in which a color bar in which a color is assigned according to the value of the blood flow parameter at each position in the distance direction along the coronary artery is displayed together with a graph showing the change in the blood flow parameter. However, for example, instead of the graph, a tomographic image in the distance direction of the coronary artery may be displayed.

[0100] FIG. 12 is a diagram showing an example of information display performed by the display control function 125c according to the ninth modification.

[0101] 12, the display control function 125c displays a CPR image 12a of a coronary artery in a section of the coronary artery selected by the operator. At this time, the display control function 125c generates the CPR image 12a of the section based on the CT image data acquired by the acquisition function 125a, for example.

[0102] The display control function 125c then displays a rectangular color bar 5a to which a color corresponding to the FFR value is assigned for each position in the distance direction along the coronary artery, similar to the example shown in Fig. 5. At this time, for example, the display control function 125c sets the length of the color bar 5a so that the scale in the distance direction matches that of the CPR image 12a, and arranges the CPR image 12a and the color bar 5a side by side so that their positions in the distance direction match.

[0103] Furthermore, the display control function 125c displays a marker 12b on the CPR image 12a at a position designated by the operator, and displays an FFR value 12c at the position where the marker 12b is displayed.

[0104] According to such a display, by comparing the color bar 5a with the CPR image 12a, the correlation between the FFR and the cross-sectional area of ​​the blood vessel at each position in the coronary artery can be easily grasped.

[0105] (Tenth Modification) FIG. 13 is a diagram showing an example of information display performed by the display control function 125c according to the tenth modification.

[0106] Furthermore, for example, as shown in FIG. 13, the display control function 125c may display a color bar 6a shaped to represent the cross-sectional shape of the coronary artery, similar to the example shown in FIG. 6, instead of the rectangular color bar 5a.

[0107] According to such a display, by comparing the color bar 6a representing the shape of the coronary artery with the CPR image 12a, the correlation between the FFR and the cross-sectional area of ​​the blood vessel at each position of the coronary artery can be more intuitively grasped.

[0108] (Eleventh Modification) Furthermore, the information that the display control function 125c displays in the first embodiment and the modified example described above can also be displayed in appropriate combinations.

[0109] FIG. 14 is a diagram showing an example of information display performed by a display control function 125c according to the eleventh modification.

[0110] For example, as shown in Fig. 14, the display control function 125c displays a graph 2a showing changes in FFR and vascular cross-sectional area and a CPR image 7a of the coronary artery, similar to the example shown in Fig. 8, and also displays the color bar 6a shown in Fig. 6 next to the CPR image 7a in place of a graph 8a showing changes in vascular cross-sectional area. In this case, for example, the display control function 125c sets the length of the color bar 6a so that the scale in the distance direction matches that of the CPR image 7a, and arranges the CPR image 7a and the color bar 6a next to each other so that their positions in the distance direction match.

[0111] For example, the display control function 125c displays a marker 7b on the graph 2a showing changes in FFR and vascular cross-sectional area, and also displays a marker 8b at a corresponding position on the color bar 6a, similar to the example shown in Fig. 8. The display control function 125c then moves the marker 7b displayed on the graph 2a and the marker 8b displayed on the color bar 6a in conjunction with each other so that they indicate the same position in the distance direction, similar to the example shown in Fig. 8.

[0112] Furthermore, for example, the display control function 125c displays the FFR value 12c at the position where the marker 7b is displayed, similar to the examples shown in FIGS.

[0113] According to such a display, by referring to various information such as the graph 2a, CPR image 7a, and color bar 6a, the correlation between the FFR and the cross-sectional area of ​​the blood vessel at each position in the coronary artery can be grasped more efficiently.

[0114] (12th Modification) Also, for example, the display control function 125c may display information indicating segments of the coronary arteries in addition to auxiliary information indicating the structure of the coronary arteries.

[0115] FIG. 15 is a diagram showing an example of information display performed by a display control function 125c according to the twelfth modification.

[0116] For example, as shown in FIG. 15, the display control function 125c displays a graph 2a showing changes in FFR and vascular cross-sectional area, similar to the example shown in FIG. 2, while displaying numbers 10a indicating coronary artery segments on the horizontal axis of the graph 2a, similar to the examples shown in FIGS. 10 and 11.

[0117] With this type of display, by referring to both the information showing the change in vascular cross-sectional area and the information showing the coronary artery segments, the correlation between FFR and vascular cross-sectional area at each position in the coronary artery can be grasped more easily and in more detail.

[0118] (13th Modification) Furthermore, for example, the display control function 125c may set a range in the distance direction along the coronary artery based on anatomical information, and further display the value of the blood flow parameter obtained from the statistical value in that range together with the graph.

[0119] FIG. 16 is a diagram showing an example of information display performed by a display control function 125c according to the thirteenth modification.

[0120] For example, as shown in FIG. 16, the display control function 125c displays a graph 2a showing changes in FFR and vascular cross-sectional area shown in FIG. 2 and a CPR image 12a and color bar 5a shown in FIG. 12 side by side so that their positions in the distance direction are aligned.

[0121] The display control function 125c then displays a marker 16a indicating a range in the distance direction along the coronary artery on the graph 2a showing changes in FFR and vascular cross-sectional area. At the same time, the display control function 125c also displays a similar marker 16b on the CPR image 12a at a position corresponding to the position of the marker 16b displayed on the graph 2a. In this example, the horizontal width of each of the markers 16a and 16b indicates a range in the distance direction along the coronary artery. The markers in this modification are not limited to the markers 16a and 16b shown in FIG. 16, and any shape of marker may be used as long as it can indicate a range in the distance direction.

[0122] Thereafter, the display control function 125c receives an operation from the operator to place the marker 16a at an arbitrary position on the graph 2a based on the anatomical information shown by the graph 2a and the CPR image 12a. Here, the display control function 125c displays the marker 16a at the corresponding position on the graph 2a in accordance with the operation received from the operator. Alternatively, the display control function 125c may receive an operation from the operator to place the marker 16b at an arbitrary position on the CPR image 12a. Furthermore, the display control function 125c receives a designation of a range in the distance direction from the operator by changing the width of the marker 16a or 16b in accordance with the operation by the operator. Then, the display control function 125c sets a range in the distance direction along the coronary artery based on the position and width of the marker 16a or 16b placed by the operator.

[0123] The display control function 125c then displays the FFR value obtained from the statistical values ​​of the coronary artery pressure within the set range. For example, the display control function 125c derives the FFR using the minimum value of the coronary artery pressure within the set range and displays the derived FFR value 16c. The display control function 125c may also derive the FFR using other statistical values ​​such as the maximum value, average value, median value, or difference value of the coronary artery pressure. Alternatively, for example, the display control function 125c may display the FFR value within the set range as a range, such as 0.81 to 0.85.

[0124] Alternatively, for example, the display control function 125c may display similar markers near the origins of the coronary arteries on the graph 2a and the CPR image 12a, and further receive operations for the markers from the operator. In this case, for example, the display control function 125c derives the FFR using the statistical values ​​of the coronary artery pressure in the range of the markers placed near the origins of the coronary arteries and the statistical values ​​of the coronary artery pressure in the range of the markers 16a and 16b placed at the above-mentioned arbitrary positions.

[0125] Alternatively, for example, the display control function 125c may further display information indicating coronary artery segments, as in the examples shown in Figures 10, 11, and 15. In this case, for example, the display control function 125c may use coronary artery segments as anatomical information to set a range in the distance direction along the coronary artery. For example, the display control function 125c may set a range in the distance direction along the coronary artery in units of coronary artery segments. That is, in this case, the display control function 125c sets a section of one segment or a division of multiple consecutive segments as a range in the distance direction along the coronary artery.

[0126] (14th Modification) Furthermore, for example, the display control function 125c may further display functional information of the subject's myocardium together with a graph showing changes in the value of the blood flow parameter.

[0127] In this case, the acquisition function 125a acquires volume data indicating functional information of the cardiac muscle of the subject in addition to CT image data relating to the coronary arteries of the subject.

[0128] For example, the acquisition function 125a acquires volume data of a CT perfusion image obtained by injecting a contrast agent into a subject and imaging the myocardium. Alternatively, for example, the acquisition function 125a may acquire volume data generated by other medical image diagnostic devices such as an MRI (Magnetic Resonance Imaging) device, an ultrasound diagnostic device, an X-ray diagnostic device, or a PET (Positron Emission Tomography) device. Note that any volume data may be used as the volume data in this modification as long as it indicates functional information of the myocardium.

[0129] Then, the display control function 125c displays the functional information of the myocardium of the subject together with a graph showing the change in the value of the blood flow parameter based on the volume data acquired by the acquisition function 125a.

[0130] Specifically, the display control function 125c identifies the region governed by the coronary artery in the myocardium, and displays the myocardial index value in the region governed by the coronary artery as functional information of the myocardium.

[0131] For example, the display control function 125c generates a polar map showing functional information of the myocardium using the volume data acquired by the acquisition function 125a, and displays it together with a graph showing changes in the values ​​of blood flow parameters. Here, the polar map is an image in which the three-dimensional shape of the myocardium is expanded on a plane and represented as a simulated circular figure, and the functional information of the myocardium is mapped onto the figure.

[0132] FIG. 17 is a diagram showing an example of information display performed by a display control function 125c according to the fourteenth modification.

[0133] 17(a), the display control function 125c generates an image in which a coronary artery blood vessel image is projected onto a polar map that represents myocardial functional information in color, and displays the image together with a graph (not shown) showing changes in the value of the blood flow parameter. Then, the display control function 125c displays a marker 17a on the polar map, and receives an operation from the operator to place the marker 17a at an arbitrary position.

[0134] Here, as shown in (b) of Fig. 17, when a marker 17a is placed on the blood vessel image of the coronary artery, the display control function 125c identifies a blood vessel region 17b located downstream of the position where the marker 17a is placed. Then, as shown in (c) of Fig. 17, the display control function 125c identifies a myocardial dominated region 17c, which is a region of the myocardium to which blood is supplied from the identified blood vessel region 17b. For example, the display control function 125c identifies the myocardial dominated region 17c using a Voronoi algorithm or the like.

[0135] 17(d), the display control function 125c derives myocardial index values ​​within the identified myocardial controlled region 17c and displays the derived myocardial index values ​​17d. Here, the myocardial index values ​​may be, for example, an integrated value obtained by integrating the myocardial index values ​​within the myocardial controlled region 17c, or an average value obtained by averaging the myocardial index values ​​within the myocardial controlled region 17c.

[0136] Although the example in which the display control function 125c displays the myocardial functional information as a polar map has been described here, this modification is not limited to this. For example, the display control function 125c may display the myocardial functional information as a graph or a color bar.

[0137] (15th Modification) Furthermore, for example, the display control function 125c may derive, by simulation, information indicating changes in myocardial functional information when the shape of the coronary artery is deformed by a treatment simulation, and further display this information together with a graph indicating changes in the value of the blood flow parameter.

[0138] In this case, the analysis function 125b performs a coronary artery treatment simulation using the CT image data acquired by the acquisition function 125a, thereby further deriving values ​​of the blood flow parameters after the coronary artery treatment.

[0139] Then, the display control function 125c performs a simulation using the post-treatment blood flow parameter values ​​derived by the analysis function 125b, and further displays information indicating changes in the functional information of the myocardium when the coronary artery is deformed by the treatment simulation, together with a graph showing changes in the values ​​of the blood flow parameters.

[0140] Specifically, the display control function 125c derives pre-treatment myocardial functional information by performing a simulation using pre-treatment blood flow parameter values ​​derived before the treatment simulation is performed. The display control function 125c also derives post-treatment myocardial functional information by performing a simulation using post-treatment blood flow parameter values. The display control function 125c then displays the derived pre-treatment myocardial functional information and post-treatment myocardial functional information as information indicating changes in the myocardial functional information.

[0141] At this time, for example, the display control function 125c identifies the control area of ​​the coronary artery in the myocardium, derives the pre-treatment myocardial index value in the control area as functional information of the myocardium before treatment, and derives the post-treatment myocardial index value in the control area as functional information of the myocardium after treatment.

[0142] For example, the analysis function 125b performs fluid analysis using the CT image data acquired by the acquisition function 125a, similar to the first embodiment, to derive the value of the blood flow parameter of the coronary artery before treatment.

[0143] Thereafter, for example, the display control function 125c identifies the coronary artery-dominated region in the myocardium, and then derives the blood flow volume supplied to the coronary artery-dominated region based on the pre-treatment blood flow parameters derived by the analysis function 125b. The display control function 125c then generates a pre-treatment myocardial perfusion image by performing a simulation to derive a pseudo-spatial distribution of the myocardial perfusion value using the derived blood flow volume. Here, the perfusion value is an example of a myocardial index value.

[0144] Thereafter, the analysis function 125b performs a treatment simulation to virtually perform a treatment on the coronary artery using the CT image data acquired by the acquisition function 125a. Here, various known methods can be used as a method for the treatment simulation.

[0145] Furthermore, the analysis function 125b performs fluid analysis again using data of the coronary artery virtually deformed by the treatment simulation, thereby deriving values ​​of blood flow parameters of the coronary artery after treatment.

[0146] Then, the display control function 125 derives the blood flow rate supplied to the control region based on the post-treatment blood flow parameters derived by the analysis function 125b, and generates a post-treatment myocardial perfusion image by performing a simulation using the derived blood flow rate.

[0147] Then, the display control function 125c displays a pre-treatment myocardial perfusion image generated before the treatment simulation is performed and a post-treatment myocardial perfusion image generated after the treatment simulation is performed side by side as information indicating changes in myocardial functional information.

[0148] Such a display allows the operator to easily confirm the range of myocardium affected by the treatment (dominated region).

[0149] In this modification, the image for displaying the spatial distribution of myocardial perfusion values ​​is not limited to a myocardial perfusion image. For example, the spatial distribution of myocardial perfusion values ​​may be displayed in the form of a polar map, or a volume rendering image of the myocardium and coronary arteries may be displayed, with the myocardial portion of the volume rendering image colored according to the perfusion value. Using a volume rendering image allows the operator to better understand the relationship between the coronary arteries, FFR, and perfusion values.

[0150] (16th Modification) Furthermore, for example, the display control function 125c may further display, in a graph, information indicating changes in the values ​​of the blood flow parameters after treatment obtained by the treatment simulation.

[0151] In this case, the analysis function 125b performs a coronary artery treatment simulation using the CT image data acquired by the acquisition function 125a, thereby further deriving values ​​of the blood flow parameters of the coronary artery after treatment. The analysis function 125b may also perform a treatment simulation to further derive values ​​of the morphological parameters of the coronary artery after treatment.

[0152] The display control function 125c then displays information indicating changes in the values ​​of the blood flow parameters after the treatment derived by the analysis function 125b on the graph showing the changes in the values ​​of the blood flow parameters. The display control function 125c may also display information indicating changes in the values ​​of the morphological parameters after the treatment derived by the analysis function 125b on the graph showing the changes in the values ​​of the blood flow parameters.

[0153] For example, the analysis function 125b performs a treatment simulation in which a treatment device is inserted into a coronary artery. Here, as an example, a case will be described in which the analysis function 125b performs a treatment simulation in which a stent is inserted into a coronary artery.

[0154] 18 to 20 are diagrams showing an example of information display performed by the display control function 125c according to the sixteenth modification.

[0155] For example, as shown in FIG. 18, the display control function 125c displays a graph 2a showing changes in FFR and vascular cross-sectional area shown in FIG. 2 and an SPR (Stretched Curved Planar Reconstruction) image 18a of the coronary artery generated based on CT image data, side by side so that their positions in the distance direction are aligned.

[0156] 19, the display control function 125c displays a stent image 18b, which simulates the shape of a therapeutic stent, on the SPR image 18a and receives an operation from the operator to place the stent image 18b at an arbitrary position in the coronary artery. Here, for example, the display control function 125c receives from the operator a specification of the length, diameter, and insertion position of the stent by transforming the stent image 18b in accordance with the operator's operation. At this time, for example, the display control function 125c displays stent information 18c indicating the stent image, stent model number, stent length, and stent diameter together with the graph 2a and the SPR image 18a.

[0157] Thereafter, the analysis function 125b performs a treatment simulation by applying the length, thickness, and insertion position of the stent specified by the operator using the stent image 18b to the analysis model created from the CT image when the initial fluid analysis was performed, and then performing fluid analysis again, thereby deriving, for example, the FFR and the vascular cross-sectional area after treatment.

[0158] Then, for example, as shown in Fig. 20, the display control function 125c displays on the graph 2a the curves (indicated by dashed lines in Fig. 20) indicating the changes in the FFR and vascular cross-sectional area after the treatment derived by the analysis function 125b, superimposed on the curves indicating the changes in the FFR and vascular cross-sectional area before the treatment. At this time, for example, the display control function 125c further displays information indicating the start and end points of the stent (indicated by dashed lines in Fig. 20) on the graph 2a.

[0159] According to such a display, by comparing the information before and after treatment, it becomes possible to easily understand the extent to which the FFR and the cross-sectional area of ​​the blood vessel will change when treatment is performed.

[0160] 20, the display control function 125c displays the curves showing the changes in FFR and vascular cross-sectional area after treatment superimposed on the curves showing the changes in FFR and vascular cross-sectional area before treatment, but this modification is not limited to this. For example, the display control function 125c may display the curves showing the changes after treatment and the curves showing the changes before treatment side by side. Alternatively, for example, the display control function 125c may switch between displaying the curves showing the changes after treatment and the curves showing the changes before treatment in response to an operation by the operator.

[0161] Although the example described here is one in which the analysis function 125b performs a treatment simulation in which a stent is inserted into a coronary artery, this modification is not limited to this. For example, the analysis function 125b may perform a treatment simulation in which the inner diameter of the blood vessel is widened by cutting a narrowed portion in the coronary artery. Alternatively, for example, the analysis function 125b may perform a treatment simulation in which a balloon is inserted into the coronary artery and the balloon widens the inner wall of the coronary artery. Alternatively, for example, the analysis function 125b may perform a treatment simulation in which a drug is administered to the subject to change blood flow parameters (such as viscosity).

[0162] Although the example described here is one in which the display control function 125c displays only the results (SPR image, FFR, and vascular cross-sectional area) of a treatment simulation in which a stent is inserted into a coronary artery, this modification is not limited to this. For example, the display control function 125c may display the results of multiple types of treatment simulations performed by the analysis function 125b. For example, the display control function 125c may display a result when the blood vessel diameter is 3 mm and the blood vessel length is 5 mm, a result when the blood vessel diameter is 3 mm and the blood vessel length is 7 mm, and a result when the blood flow parameters are changed by drug administration. In this case, the display control function 125c may display the results in an overlapping manner, side by side, or switch between them in response to an operation by the operator.

[0163] (Other variations) In the above-described first embodiment and modified examples, when a CPR image of a coronary artery is displayed as in the examples shown in FIGS. 7 to 8 and 12 to 14, for example, the display control function 125c may superimpose a linear graphic showing the contour of the coronary artery on the CPR image.

[0164] In this case, for example, the display control function 125c may switch between a mode in which graphics are displayed and a mode in which graphics are not displayed in response to an instruction from the operator. For example, when graphics are displayed, the graphics may make it difficult to observe blood vessels on the CPR image. However, by being able to switch the display mode in this way, the operator can easily observe blood vessels depending on the situation.

[0165] (Second embodiment) In the first embodiment described above, an example was described in which the processing circuitry 125 of the medical image processing apparatus 120 has the acquisition function 125a, the analysis function 125b, and the display control function 125c, but these processing functions may be distributed and implemented in multiple devices. Therefore, hereinafter, as a second embodiment, an example in which the processing functions of the processing circuitry 125 described in the first embodiment are distributed and implemented in two devices will be described.

[0166] FIG. 21 is a diagram showing an example of the configuration of a medical image processing system according to the second embodiment.

[0167] 21, a medical image processing system 200 according to this embodiment includes an X-ray CT apparatus 110, a medical image analysis apparatus 220, and a medical image display apparatus 230. Here, each apparatus is connected to each other via a network 240 so as to be able to communicate with each other.

[0168] The X-ray CT apparatus 110 generates CT image data relating to a subject, similarly to the first embodiment.

[0169] The medical image analysis device 220 acquires CT image data from the X-ray CT device 110 via the network 240 and performs various analytical processes based on the acquired CT image data. For example, the medical image analysis device 220 is realized by computer equipment such as a server, a workstation, or a personal computer.

[0170] Specifically, the medical image analysis device 220 includes a NW interface 221, a memory circuitry 222, an input interface 223, a display 224, and a processing circuitry 225. Here, the NW interface 221, the memory circuitry 222, the input interface 223, and the display 224 have the same configurations as the NW interface 121, the memory circuitry 122, the input interface 123, and the display 124 of the medical image processing device 120 described in the first embodiment, respectively.

[0171] The medical image display device 230 acquires CT image data from the X-ray CT device 110 via a network 240 and performs various analytical processes based on the acquired CT image data. For example, the medical image display device 230 is realized by computer equipment such as a server, a workstation, or a personal computer.

[0172] Specifically, the medical image display device 230 includes a NW interface 231, a storage circuitry 232, an input interface 233, a display 234, and a processing circuitry 235. Here, the NW interface 231, the storage circuitry 232, the input interface 233, and the display 234 have the same configurations as the NW interface 121, the storage circuitry 122, the input interface 123, and the display 124 of the medical image processing device 120 described in the first embodiment, respectively.

[0173] In this embodiment, the processing circuitry 225 of the medical image analyzer 220 has an acquisition function 225a, an analysis function 225b, and a transmission function 225c. The acquisition function 225a is an example of an acquisition unit. The analysis function 225b is an example of an analysis unit.

[0174] The acquisition function 225a executes the same processing as the acquisition function 125a described in the first embodiment or the modified example. The analysis function 225b executes the same processing as the analysis function 125b described in the first embodiment or the modified example. The transmission function 225c transmits information including the values ​​of the blood flow parameters and morphological parameters derived by the analysis function 225b to the medical image display device 230 via the NW interface 221.

[0175] In this embodiment, the processing circuitry 235 of the medical image display device 230 has a receiving function 235a and a display control function 235b. The display control function 235b is an example of a display control unit.

[0176] The receiving function 235a receives information including values ​​of blood flow parameters and morphological parameters transmitted from the medical image analyzing device 220 via the NW interface 231. Furthermore, the display control function 235b uses the information received by the receiving function 235a to execute processing similar to that of the display control function 125c described in the first embodiment or the modified example.

[0177] As a result, for example, the display control function 235b displays information showing the change in the value of the blood flow parameter along the coronary artery on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays auxiliary information showing the structure of the coronary artery together with the graph.

[0178] Alternatively, for example, the display control function 235b displays information showing the change in the value of the blood flow parameter along the coronary artery on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays information showing the segment of the coronary artery on the horizontal axis of the graph.

[0179] In this embodiment, for example, the analysis function 225b of the medical image analysis device 220 generates display data for displaying information based on the derived values ​​of blood flow parameters and morphological parameters in the same manner as in the first embodiment or the modified example, and transmits the generated display data to the medical image display device 230, and the display control function 235b of the medical image display device 230 displays information based on the received display data. Alternatively, for example, the analysis function 225b of the medical image analysis device 220 may transmit the values ​​of blood flow parameters and morphological parameters to the medical image display device 230, and the display control function 235b of the medical image display device 230 may use the received values ​​of blood flow parameters and morphological parameters to display information in the same manner as the display control function 125c described in the first embodiment or the modified example.

[0180] Here, for example, the processing circuitry 225 of the medical image analysis device 220 and the processing circuitry 235 of the medical image display device 230 are each realized by a processor. In this case, the processing functions of each processing circuit are stored in the storage circuitry of each device in the form of programs executable by a computer. Then, each processing circuit realizes the processing function corresponding to each program by reading and executing each program from the storage circuitry. In other words, each processing circuit has the processing functions shown in FIG. 21 when each program is read.

[0181] According to the above-described configuration, in the second embodiment, as in the first embodiment, by referring to the auxiliary information together with the graph, it is possible to easily grasp the correspondence between the position at which the value of the blood flow parameter is derived and the position on the coronary artery.

[0182] (Third embodiment) Furthermore, the processing function of the processing circuitry 125 described in the first embodiment may be implemented in an X-ray CT scanner. Therefore, hereinafter, as a third embodiment, an example in which the processing function of the processing circuitry 125 described in the first embodiment is implemented in an X-ray CT scanner will be described.

[0183] FIG. 22 is a diagram showing an example of the configuration of an X-ray CT apparatus according to the third embodiment.

[0184] For example, as shown in Fig. 22, an X-ray CT apparatus 300 according to this embodiment includes a gantry device 310, a bed device 330, and a console device 340. For convenience of explanation, Fig. 22 shows a plurality of gantry devices 310.

[0185] In this embodiment, the rotation axis of the rotating frame 313 in a non-tilted state or the longitudinal direction of the tabletop 333 of the bed device 330 is defined as the "Z-axis direction." Furthermore, the axial direction that is perpendicular to the Z-axis direction and horizontal to the floor surface is defined as the "X-axis direction." Furthermore, the axial direction that is perpendicular to the Z-axis direction and vertical to the floor surface is defined as the "Y-axis direction."

[0186] The gantry device 310 is a device that irradiates an object P (such as a patient) with X-rays, detects the X-rays that have passed through the object P, and outputs the detected X-rays to a console device 340. The gantry device 310 has an X-ray tube 311, an X-ray detector 312, a rotating frame 313, an X-ray high-voltage device 314, a control device 315, a wedge 316, and an X-ray aperture 317.

[0187] The X-ray tube 311 is a vacuum tube that generates X-rays by irradiating thermoelectrons from a cathode (filament) toward an anode (target) when a high voltage is applied from the X-ray high voltage device 314. For example, the X-ray tube 311 is a rotating anode type X-ray tube that generates X-rays by irradiating a rotating anode with thermoelectrons.

[0188] The wedge 316 is a filter for adjusting the amount of X-rays irradiated from the X-ray tube 311. Specifically, the wedge 316 is a filter that transmits and attenuates the X-rays irradiated from the X-ray tube 311 so that the X-rays irradiated from the X-ray tube 311 to the subject P have a predetermined distribution. For example, the wedge 316 is a filter made by processing aluminum so as to have a predetermined target angle and a predetermined thickness. The wedge 316 is also called a wedge filter or a bow-tie filter.

[0189] The X-ray aperture 317 includes a lead plate or the like for narrowing the irradiation range of the X-rays transmitted through the wedge 316, and a slit is formed by combining a plurality of lead plates or the like.

[0190] The X-ray detector 312 detects X-rays emitted from the X-ray tube 311 and passing through the subject P. Specifically, the X-ray detector 312 has a plurality of detector element rows, in which a plurality of detector elements are arranged in the channel direction along one arc centered on the focal point of the X-ray tube 311. For example, the X-ray detector 312 has a structure in which a plurality of detector element rows, in which a plurality of detector elements are arranged in the channel direction, are arranged in the row direction (also called the slice direction or row direction).

[0191] For example, the X-ray detector 312 is an indirect conversion detector having a collimator, a scintillator array, and a photosensor array. The scintillator array has multiple scintillators, each of which has a scintillator crystal that outputs light with a photon amount corresponding to the amount of incident X-rays. The collimator (also called a grid) is arranged on the X-ray incident side of the scintillator array and has an X-ray shielding plate that absorbs scattered X-rays. For example, the collimator is a one-dimensional collimator or a two-dimensional collimator. The photosensor array has multiple photosensors, each of which outputs an electrical signal corresponding to the amount of light output from the corresponding scintillator. For example, the photosensor array has other photosensors such as a photomultiplier tube (PMT). The X-ray detector 312 may also be a direct conversion detector having a semiconductor element that converts incident X-rays into an electrical signal.

[0192] The X-ray detector 312 also has a Data Acquisition System (DAS) that processes the electrical signals output from each detection element. The DAS has an amplifier that amplifies the electrical signals output from each detection element of the X-ray detector 312 and an A / D converter that converts the electrical signals into digital signals, and generates detection data. The detection data generated by the DAS is transferred to the console device 340.

[0193] The X-ray high voltage device 314 includes a high-voltage generator having electrical circuits such as a transformer and a rectifier and having the function of generating a high voltage to be applied to the X-ray tube 311, and an X-ray control device that controls the output voltage according to the X-ray output irradiated by the X-ray tube 311. The high-voltage generator may be of a transformer type or an inverter type. The X-ray high voltage device 314 may be provided on the rotating frame 313, which will be described later, or on a support frame (not shown) in the gantry device 310 that rotatably supports the rotating frame 313.

[0194] The rotating frame 313 is an annular frame that supports the X-ray tube 311 and the X-ray detector 312 so as to face each other and rotates the X-ray tube 311 and the X-ray detector 312 using a control device 315 (described later). The rotating frame 313 is further equipped with and supports an X-ray high-voltage device 314 in addition to the X-ray tube 311 and the X-ray detector 312. Detection data generated by a DAS included in the X-ray detector 312 is transmitted by optical communication from a transmitter having a light-emitting diode (LED) provided on the rotating frame 313 to a receiver having a photodiode provided on a non-rotating portion of the gantry 310 (e.g., a support frame) and then transferred to the console device 340. The method of transmitting the detection data from the rotating frame 313 to the non-rotating portion of the gantry 310 is not limited to the optical communication described above, and any method of non-contact data transmission may be used.

[0195] The control device 315 includes a processing circuit having a CPU (Central Processing Unit) and the like, and a driving mechanism including a motor and an actuator. The control device 315 has a function of receiving an input signal from an input interface 343 attached to the console device 340 or the gantry device 310 and controlling the operation of the gantry device 310 and the bed device 330. For example, the control device 315 receives the input signal and controls the rotation of the rotating frame 313, the tilt of the gantry device 310, and the operation of the bed device 330 and the tabletop 333. The control of tilting the gantry device 310 is realized by the control device 315 rotating the rotating frame 313 around an axis parallel to the X-axis direction based on inclination angle (tilt angle) information input via the input interface 343 attached to the gantry device 310. The control device 315 may be provided in the gantry device 310 or the console device 340.

[0196] The bed device 330 is a device on which the subject P, who is the subject of the scan, is placed and moved, and includes a base 331, a bed driving device 332, a top plate 333, and a support frame 334. The base 331 is a housing that supports the support frame 334 so that it can move in the vertical direction. The bed driving device 332 is a motor or actuator that moves the top plate 333, on which the subject P is placed, in the longitudinal direction of the top plate 333. The top plate 333, which is provided on the upper surface of the support frame 334, is a plate on which the subject P is placed. Note that the bed driving device 332 may move the support frame 334 in addition to the top plate 333 in the longitudinal direction of the top plate 333.

[0197] The console device 340 is a device that accepts operations of the X-ray CT apparatus 300 by an operator and reconstructs CT image data using detection data collected by the gantry device 310. The console device 340 has a memory 341, a display 342, an input interface 343, and a processing circuit 344. Note that, although an example in which the console device 340 and the gantry device 310 are separate entities will be described here, the gantry device 310 may include the console device 340 or some of the components of the console device 340.

[0198] The memory 341 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory), a flash memory, a hard disk, an optical disk, etc. The memory 341 stores, for example, projection data and CT image data.

[0199] The display 342 displays various types of information. For example, the display 342 outputs medical images (CT images) generated by the processing circuitry 344, a GUI (Graphical User Interface) for receiving various operations from the operator, and the like. For example, the display 342 is a liquid crystal display or a CRT (Cathode Ray Tube) display. Note that the display 342 may be provided on the gantry device 310, for example. Furthermore, the display 342 may be a desktop type, or may be configured as a tablet terminal or the like capable of wireless communication with the console device 340 main body.

[0200] The input interface 343 accepts various input operations from the operator, converts the accepted input operations into electrical signals, and outputs the electrical signals to the processing circuitry 344. For example, the input interface 343 accepts from the operator acquisition conditions for acquiring projection data, reconstruction conditions for reconstructing CT image data, image processing conditions for generating post-processed images from CT images, and the like. For example, the input interface 343 is realized by a mouse, keyboard, trackball, switch, button, joystick, or the like. Note that the input interface 343 may be provided in the gantry device 310, for example. Furthermore, the input interface 343 may be configured by a tablet terminal or the like capable of wireless communication with the console device 340 main body, for example.

[0201] The processing circuitry 344 controls the overall operation of the X-ray CT apparatus 300. For example, the processing circuitry 344 has a system control function 344a, a pre-processing function 344b, a reconstruction processing function 344c, and an image processing function 344d.

[0202] The system control function 344a controls various functions of the processing circuitry 344 based on input operations received from an operator via the input interface 343. For example, the system control function 344a controls a CT scan executed in the X-ray CT device 300. The system control function 344a also controls the generation and display of CT image data in the console device 340 by controlling a preprocessing function 344b, a reconstruction processing function 344c, and an image processing function 344d.

[0203] The pre-processing function 344b generates projection data by performing pre-processing such as logarithmic conversion processing, offset correction processing, inter-channel sensitivity correction processing, and beam hardening correction on the detection data output from the DAS of the X-ray detector 312. Note that the data before pre-processing (detection data) and the data after pre-processing may be collectively referred to as projection data.

[0204] The reconstruction processing function 344c performs reconstruction processing using a filtered back projection method, an iterative reconstruction method, or the like on the projection data generated by the preprocessing function 344b to generate CT image data (reconstructed image data).

[0205] The image processing function 344d converts the CT image data generated by the reconstruction processing function 344c into tomographic image data of an arbitrary cross section or three-dimensional image data by a known method based on an input operation received from the operator via the input interface 343. Note that the generation of three-dimensional image data may be performed directly by the reconstruction processing function 344c.

[0206] In this embodiment, the system control function 344a further includes an analysis function 344e and a display control function 344f. The analysis function 344e is an example of an analysis unit. The display control function 344f is an example of a display control unit.

[0207] The analysis function 344e uses the CT image data generated by the reconstruction processing function 344c to perform the same processing as the analysis function 125b described in the first embodiment or the modified example. The display control function 344f performs the same processing as the display control function 125c described in the first embodiment or the modified example.

[0208] As a result, for example, the display control function 344f displays information showing the change in the value of the blood flow parameter along the coronary artery on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays auxiliary information showing the structure of the coronary artery together with the graph.

[0209] Alternatively, for example, the display control function 344f displays information showing the change in the value of the blood flow parameter along the coronary artery on a graph with the value of the blood flow parameter on the vertical axis and the distance direction along the coronary artery on the horizontal axis, and further displays information showing the segment of the coronary artery on the horizontal axis of the graph.

[0210] Here, for example, the processing circuitry 344 is realized by a processor. In this case, each processing function possessed by the processing circuitry 344 is stored in the memory 341 in the form of a program executable by a computer. The processing circuitry 344 then reads each program from the memory 341 and executes it to realize the function corresponding to each program. In other words, the processing circuitry 344 has each processing function shown in FIG. 22 when each program has been read.

[0211] According to the above-described configuration, in the third embodiment, as in the first embodiment, by referring to the auxiliary information together with the graph, it is possible to easily grasp the correspondence between the position at which the value of the blood flow parameter is derived and the position on the coronary artery.

[0212] (Other embodiments) In the above-described embodiments and modifications, examples have been described in which CT image data generated by an X-ray CT device is used as medical image data, but the embodiments are not limited to this. For example, medical image data generated by other medical image diagnostic devices such as an MRI (Magnetic Resonance Imaging) device, an ultrasound diagnostic device, or an X-ray diagnostic device may be used as long as it is medical image data from which the shape of blood vessels can be obtained.

[0213] The medical image data used to derive the blood flow parameters and the medical image data used to derive the morphological parameters may be different types of medical image data. For example, the blood flow parameters may be derived based on CT image data, and the morphological parameters may be derived based on ultrasound images generated by an ultrasound diagnostic device such as IVUS (Intravascular Ultrasound).

[0214] In the above-described embodiments, each processing function is realized by a single processing circuit for each device. However, the embodiments are not limited to this. For example, a processing circuit may be configured by combining multiple independent processors, and each processor may execute a program to realize each processing function. Furthermore, each processing function of a processing circuit may be realized by being appropriately distributed or integrated among a single or multiple processing circuits. Furthermore, in the above-described embodiments, an example has been described in which a single storage circuit stores a program corresponding to each processing function for each device. However, for example, multiple storage circuits may be distributed and the processing circuit may read corresponding programs from the individual storage circuits.

[0215] In addition, in the above-described embodiments, examples have been described in which the acquisition unit, analysis unit, and display control unit in this specification are realized by the acquisition function, analysis function, and display control function of a processing circuit, respectively, but the embodiments are not limited to this. For example, in addition to being realized by the acquisition function, analysis function, and display control function described in the embodiments, the acquisition unit, analysis unit, and display control unit in this specification may also be realized by hardware only, software only, or a combination of hardware and software.

[0216] Furthermore, the term "processor" used in the above description refers to a circuit such as a central processing unit (CPU), a graphics processing unit (GPU), an application specific integrated circuit (ASIC), or a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), or a field programmable gate array (FPGA)). If the processor is a CPU, for example, the processor realizes its function by reading and executing a program stored in a memory circuit. On the other hand, if the processor is an ASIC, for example, instead of storing the program in a memory circuit, the function is directly incorporated into the processor circuit as a logic circuit. Note that each processor in this embodiment is not limited to being configured as a single circuit for each processor, but may be configured as a single processor by combining multiple independent circuits to realize its function. Furthermore, multiple components in FIG. 1 may be integrated into a single processor to realize its function.

[0217] Here, the program executed by the processor is provided in advance in a read-only memory (ROM) or a storage circuit. The program may be provided in a format installable or executable by these devices, recorded on a computer-readable storage medium such as a compact disk (CD)-ROM, a flexible disk (FD), a recordable CD-R, or a digital versatile disk (DVD). The program may also be stored on a computer connected to a network such as the Internet and provided or distributed by downloading it via the network. For example, the program may be composed of modules including the above-mentioned functional units. In actual hardware, a CPU reads and executes the program from a storage medium such as a ROM, whereby each module is loaded into a main memory device and generated on the main memory device.

[0218] In addition, in the above-described embodiments and modifications, the components of each device shown in the drawings are functional concepts and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution or integration of each device is not limited to that shown in the drawings, and all or part of the devices can be functionally or physically distributed or integrated in any unit depending on various loads, usage conditions, etc. Furthermore, all or any part of the processing functions performed by each device can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware using wired logic.

[0219] Furthermore, among the processes described in the above-mentioned embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method.In addition, the information including the processing procedures, control procedures, specific names, various data and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified.

[0220] According to at least one of the embodiments described above, it becomes possible to easily grasp the correspondence between the position where the value of the blood flow parameter is derived and the position on the coronary artery.

[0221] Although several embodiments have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, as well as within the scope of the invention and its equivalents as defined in the claims. [Explanation of symbols]

[0222] 120 Medical image processing device 125 Processing Circuit 125a Acquisition function 125b Analysis function 125c Display Control Function

Claims

1. A medical image processing system that acquires medical images acquired by a medical image diagnostic device via a network, an acquisition unit that acquires medical image data related to the coronary arteries of a subject from the medical image diagnostic apparatus; an analysis unit that derives values ​​of blood flow parameters that represent hemodynamics of the coronary artery based on the medical image data; a display control unit that displays the shape of the coronary artery and information indicating changes in the value of the blood flow parameter along the coronary artery, with the distance direction along the coronary artery being the horizontal axis; Equipped with The display control unit displaying a first marker, a second marker, and a third marker at positions corresponding to the horizontal axis on the display; and further showing a cross-sectional image of the coronary artery at the location of the first marker. Medical image processing system.

2. The blood flow parameter is QFR (Quantitative Flow Ratio), The medical image processing system according to claim 1 .

3. the display control unit calculates and displays a difference value of the blood flow parameter among the positions indicated by the first marker, the second marker, and the third marker.

3. The medical image processing system according to claim 1.

4. the display control unit further displays a stent image that simulates the shape of a stent at a position corresponding to the horizontal axis on the display, and displays a numerical value indicating the length of the stent together with the stent image.

4. The medical image processing system according to claim 1.

5. the display control unit displays, as the display, a color map to which colors are assigned according to values ​​of the blood flow parameters, and further displays a CPR (Curved Planar Reconstruction) image of the coronary artery together with the color map.

5. The medical image processing system according to claim 1.

6. the display control unit displays a plurality of cross-sectional images at different positions of the coronary artery, the cross-sectional images including a cross-sectional image at the position of the first marker.

6. The medical image processing system according to claim 1.

7. the display control unit displays the first marker, the second marker, and the third marker at corresponding positions on the CPR image of the coronary artery.

7. The medical image processing system according to claim 1.

8. The display control unit further displays information indicating the coronary artery segments on the horizontal axis. The medical image processing system according to any one of claims 1 to 7.

9. the analysis unit further derives values ​​of morphological parameters representing the morphology of the coronary artery based on the medical image data; the display control unit further displays information indicating changes in the values ​​of the morphological parameters along the coronary artery.

9. The medical image processing system according to claim 1.

10. the display control unit further displays a tomographic image of the coronary artery along the distance direction, and displays markers corresponding to the first marker, the second marker, and the third marker at corresponding positions on the tomographic image.

10. The medical image processing system according to claim 1.

11. The display control unit Further displaying the values ​​of the blood flow parameter at each of the positions where the first marker, the second marker, and the third marker are displayed. The medical image processing system according to claim 10.

12. the display control unit sets a range in a distance direction along the coronary artery based on anatomical information, and further displays values ​​of blood flow parameters obtained from statistical values ​​in the range. The medical image processing system according to any one of claims 1 to 11.

13. the display control unit displays a marker indicating the range at a position corresponding to the horizontal axis on the display. The medical image processing system according to claim 12.

14. the display control unit sets the range in units of segments of the coronary arteries.

14. The medical image processing system according to claim 12 or 13.

15. the acquiring unit further acquires volume data indicating functional information of the myocardium of the subject; the display control unit further displays functional information of the myocardium based on the volume data. The medical image processing system according to any one of claims 1 to 14.

16. the display control unit identifies a region controlled by the coronary artery in the myocardium, and displays a myocardial index value in the region controlled by the coronary artery as functional information of the myocardium. The medical image processing system according to claim 15.

17. the analysis unit further derives values ​​of the blood flow parameters after treatment of the coronary artery by performing a treatment simulation of the coronary artery using the medical image data; the display control unit performs a simulation using the values ​​of the blood flow parameters after the treatment, and further displays information indicating a change in functional information of the myocardium when the coronary artery is deformed by the treatment simulation. The medical image processing system according to any one of claims 1 to 16.

18. the display control unit derives myocardial functional information before the treatment by performing a simulation using pre-treatment blood flow parameter values ​​derived before the treatment simulation is performed, derives myocardial functional information after the treatment by performing a simulation using the post-treatment blood flow parameter values, and displays the pre-treatment myocardial functional information and the post-treatment myocardial functional information as information indicating a change in the myocardial functional information.

18. The medical image processing system according to claim 17.

19. the display control unit identifies a control region of the coronary artery in the myocardium, derives a pre-treatment myocardial index value in the control region as functional information of the myocardium before the treatment, and derives a post-treatment myocardial index value in the control region as functional information of the myocardium after the treatment.

19. The medical image processing system of claim 18.

20. the analysis unit further derives values ​​of the blood flow parameters after treatment of the coronary artery by performing a treatment simulation of the coronary artery using the medical image data; the display control unit further displays information indicating a change in the value of the blood flow parameter after the treatment. The medical image processing system according to any one of claims 1 to 19.

21. the analysis unit further derives values ​​of morphological parameters of the coronary artery after treatment by performing the treatment simulation; The display control unit further displays information indicating changes in the values ​​of the morphological parameters after the treatment.

21. The medical image processing system according to claim 20.

22. On the computer, an acquisition function for acquiring medical image data relating to the coronary arteries of a subject; an analysis function for deriving values ​​of blood flow parameters representing hemodynamics of the coronary artery based on the medical image data; a display control function for displaying the shape of the coronary artery and information indicating changes in the value of the blood flow parameter along the coronary artery, with the distance direction along the coronary artery being the horizontal axis; Realize this, The display control function includes: displaying a first marker, a second marker, and a third marker at positions corresponding to the horizontal axis on the display; and further showing a cross-sectional image of the coronary artery at the location of the first marker. Medical image processing program.

23. A medical image processing device an acquiring step of acquiring medical image data relating to the coronary arteries of a subject; an analysis step of deriving values ​​of blood flow parameters representing hemodynamics of the coronary artery based on the medical image data; a display control step of displaying the shape of the coronary artery and information indicating changes in the value of the blood flow parameter along the coronary artery, with the distance direction along the coronary artery being the horizontal axis; Including, The display control step includes: displaying a first marker, a second marker, and a third marker at positions corresponding to the horizontal axis on the display; and further showing a cross-sectional image of the coronary artery at the location of the first marker. Medical image processing methods.

Images