WO2020075571A1

WO2020075571A1 - Fluid analysis device, method and program

Info

Publication number: WO2020075571A1
Application number: PCT/JP2019/038704
Authority: WO
Inventors: 広貴伊藤
Original assignee: 富士フイルム株式会社
Priority date: 2018-10-09
Filing date: 2019-10-01
Publication date: 2020-04-16
Also published as: JPWO2020075571A1; JP7059391B2

Abstract

According to the present invention, a first analysis unit analyzes a first three-dimensional image and derives a first result regarding a blood flow at each position in a blood vessel. A second analysis unit simulates a blood flow at each position in the blood vessel and derives a second result regarding the blood flow. A coincidence degree derivation unit derives a coincidence degree at a position corresponding to the first result and the second result on the basis of one of the first result and the second result. A display control unit displays at least one of the first result and the second result on a display unit according to the coincidence degree.

Description

Fluid analysis device, method and program

The present disclosure relates to a fluid analysis device, method, and program for analyzing and displaying a fluid flow.

Recently, blood flow in blood vessels has been analyzed using medical images of the heart and brain. As a blood flow analysis method using such a medical image, for example, a 4D flow method for measuring an actual blood flow four-dimensionally is used. The 4D flow uses, for example, a three-dimensional MRI (Magnetic Resonance Imaging) image captured by a three-dimensional cine phase contrast magnetic resonance method to derive a flow velocity vector for each voxel, each pixel, or each region, It is a method of displaying dynamically along with the flow. In addition, a method of simulating the flow of blood by blood flow analysis (CFD: Computational Fluid Dynamics) using computational fluid dynamics is also used.

By the way, the 4D flow is derived based on the MRI image that represents the actual blood flow, but there are restrictions on the spatial resolution and temporal resolution. Further, since blood flow is underestimated in a portion where turbulence or the like occurs, velocity information may not appear in the MRI image in that portion. On the other hand, the CFD can arbitrarily set the spatial resolution and the temporal resolution, but since it is a simulation to the last, it is necessary to sufficiently judge whether the result is appropriate.

Therefore, there has been proposed a method of analyzing blood flow by combining the flow velocity vector that is the result derived by the 4D flow and the flow velocity vector that is the result derived by the CFD (JP-A-2016-135265). reference). In addition, a method for displaying the result derived by the 4D flow and the result derived by the CFD to let the user confirm is also proposed (van Ooij P, et al., "3D cine phase-contrast MRIat3T intra intracranialaneurysms compared with patient-specific computational fluid dynamics ", AJNR AmJJ Neuroradiol. 2013 Sep; 34 (9): 1785-91). According to the method described in Japanese Patent Laid-Open No. 2016-135265 and OoijP et al., While utilizing the advantages of both by using both the result derived by the 4D flow and the result obtained by CFD, Diagnosis and treatment can be performed.

However, in the method described in the document of OoijP et al., The result derived by analyzing the image like 4D flow and the result derived by simulation like CFD are displayed separately. Therefore, the result derived by analyzing the image and the result derived by the simulation cannot be confirmed at the same time, and it is difficult to understand the difference between the two.

The present disclosure has been made in view of the above circumstances, and an object thereof is to make it possible to easily recognize a difference between a result derived by analyzing an image and a result derived by simulation.

A fluid analysis device according to the present disclosure analyzes an image acquired by capturing an object including a structure in which a fluid flows, and derives a first result regarding a fluid flow at each position in the structure. 1 analysis unit,
A second analysis unit that simulates a fluid flow at each position in the structure and derives a second result regarding the fluid flow;

A coincidence degree deriving unit that derives a coincidence degree at a position where the first result and the second result correspond to each other, based on either one of the first result and the second result,
A display control unit that displays at least one of the first result and the second result on the display unit according to the degree of coincidence.

”The“ positions ”include not only the pixel position and voxel position of the image, but also the position of the area consisting of multiple pixels (voxels).

▽ "Results about fluid flow" include flow velocity vector, fluid pressure, wall shear stress (WSS (Wall Shear Stress)), vorticity and helicity.

In the fluid analysis device according to the present disclosure, the display control unit displays either the first result or the second result, and the displayed first result and the second result are displayed according to the degree of coincidence. The display mode of any one of the results may be changed.

Further, in the fluid analysis device according to the present disclosure, the display control unit displays one of the first result and the second result, and further displays the other result in a display mode according to the degree of coincidence. May be

Further, in the fluid analysis device according to the present disclosure, the display control unit may emphasize the other result as the degree of coincidence is smaller.

Further, in the fluid analysis device according to the present disclosure, the display control unit displays either the first result or the second result at a position where the degree of coincidence is equal to or higher than a predetermined threshold value, and the coincidence is displayed. At the position where the degree is less than the threshold value, the other result may be further displayed in a display mode according to the degree of coincidence.

Further, in the fluid analysis device according to the present disclosure, the image is a three-dimensional image acquired by photographing a subject by the three-dimensional cine phase contrast magnetic resonance method,
The first analysis unit may derive a fluid velocity vector acquired by analyzing the three-dimensional image as a first result.

Further, in the fluid analysis device according to the present disclosure, the second analysis unit derives, as a second result, a fluid flow velocity vector acquired by simulating a fluid flow by an analysis using computational fluid dynamics. May be

In the fluid analysis device according to the present disclosure, the structure may be a blood vessel and the fluid may be blood.

Further, in the fluid analysis device according to the present disclosure, the display control unit displays the morphological image of the structure on the display unit, and at least one of the first result and the second result is displayed on the morphological image according to the degree of coincidence. May be displayed.

A fluid analysis method according to an embodiment of the present disclosure analyzes an image acquired by capturing an object including a structure in which a fluid flows, and derives a first result regarding a fluid flow at each position in the structure,
Simulating the fluid flow at each location in the structure to derive a second result for the fluid flow,
Deriving the degree of coincidence at the corresponding position between the first result and the second result, based on either one of the first result and the second result,
At least one of the first result and the second result is displayed on the display unit according to the degree of coincidence.

Note that the fluid analysis method according to the present disclosure may be provided as a program for causing a computer to execute the method.

Another fluid analysis device according to the present disclosure is a memory that stores instructions to be executed by a computer,
A processor configured to execute the stored instructions, the processor
An image obtained by capturing an object including a structure in which a fluid flows inside is analyzed to derive a first result regarding a fluid flow at each position in the structure,
Simulating the fluid flow at each location in the structure to derive a second result for the fluid flow,
Deriving the degree of coincidence at the corresponding position between the first result and the second result, based on either one of the first result and the second result,
A process of displaying at least one of the first result and the second result on the display unit is executed according to the degree of coincidence.

According to the present disclosure, it is possible to easily recognize the difference between the result derived by analyzing the image and the result derived by the simulation.

A hardware configuration diagram showing an outline of a diagnosis support system to which a fluid analysis device according to an embodiment of the present disclosure is applied The figure which shows the schematic structure of the fluid analysis apparatus by embodiment of this indication. The figure which shows the 1st 3-dimensional image image | photographed by 3-dimensional cine phase contrast magnetic resonance method. The figure which shows the 1st result and the 2nd result in the same blood-vessel area | region. The figure which shows the 1st result which made the 2nd result and spatial resolution correspond by interpolation calculation. The figure which shows the display screen of at least one of the 1st result and the 2nd result according to the degree of coincidence. A figure showing a state in which at least one of a first result and a second result is displayed in a morphological image of blood vessels. Flow chart showing processing performed in the present embodiment The figure which shows the other example of the display screen of at least 1 side of a 1st result and a 2nd result according to a matching degree. The figure which shows the other example of the display screen of at least 1 side of a 1st result and a 2nd result according to a matching degree. The figure which shows the other example of the display screen of at least 1 side of a 1st result and a 2nd result according to a matching degree. The figure which shows the other example of the display screen of at least 1 side of a 1st result and a 2nd result according to a matching degree.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. FIG. 1 is a hardware configuration diagram showing an outline of a diagnosis support system to which a fluid analysis device according to an embodiment of the present disclosure is applied. As shown in FIG. 1, in the diagnosis support system, the fluid analysis device 1, the three-dimensional image capturing device 2, and the image storage server 3 according to the present embodiment are connected in a communicable state via a network 4. .

The three-dimensional image capturing device 2 is a device that captures a region of a subject to be diagnosed to generate a three-dimensional image representing the region, and specifically, a CT device, an MRI device, and a PET ( Positron Emission Tomography) device. The three-dimensional image generated by the three-dimensional image capturing device 2 is transmitted to and stored in the image storage server 3. In the present embodiment, a case of acquiring a three-dimensional image of the heart of a patient (corresponding to the subject of the present disclosure) is described, but the present invention is not limited to this, and other organs such as the lung, liver, and head may be used. Particularly, in this embodiment, it is assumed that a plurality of types of three-dimensional images are acquired. Specifically, an MRI image obtained by photographing a subject by a three-dimensional cine phase contrast magnetic resonance method in an MRI device is acquired as a first three-dimensional image G1, and a contrast CT image obtained by photographing a subject using a contrast agent in a CT device. Is acquired as the second three-dimensional image G2. However, the types of the acquired three-dimensional image are not limited to these. Further, the blood vessel of the heart corresponds to the structure of the present disclosure, and the blood corresponds to the fluid of the present disclosure.

The image storage server 3 is a computer that stores and manages various data, and includes a large-capacity external storage device and database management software. The image storage server 3 communicates with other devices via a wired or wireless network 4 to transmit and receive image data and the like. Specifically, various data including the image data of the three-dimensional image generated by the three-dimensional image capturing device 2 is acquired via a network, and stored and managed in a recording medium such as a large-capacity external storage device. The storage format of the image data and the communication between the devices via the network 4 are based on a protocol such as DICOM (Digital Imaging and Communication in Medicine).

The fluid analysis device 1 is one in which the fluid analysis program of the present disclosure is installed. The computer may be a workstation or a personal computer directly operated by a doctor who makes a diagnosis, or may be a server computer connected to them through a network. The fluid analysis program is recorded and distributed in a recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory), and is installed in the computer from the recording medium. Alternatively, it is stored in a storage device of a server computer connected to a network or a network storage so as to be accessible from the outside, and is downloaded and installed on a computer used by a doctor upon request.

FIG. 2 is a diagram showing a schematic configuration of a fluid analysis device realized by installing a fluid analysis program in a computer. As shown in FIG. 2, the fluid analysis device 1 includes a CPU (Central Processing Unit) 11, a memory 12 and a storage 13 as a standard workstation configuration. A display unit 14 such as a liquid crystal display and an input unit 15 such as a keyboard and a mouse are connected to the fluid analysis device 1.

The storage 13 includes a hard disk drive and the like, and stores various information including three-dimensional images acquired from the image storage server 3 via the network 4 and information necessary for processing.

The memory 12 also stores a fluid analysis program. The fluid analysis program is an image acquisition process for acquiring the first and second three-dimensional images G1 and G2 of the subject as a process to be executed by the CPU 11, and analyzes the first three-dimensional image G1 to determine each position in the blood vessel. In the first analysis process for deriving the first result regarding the blood flow in, the second blood flow is simulated by simulating the blood flow at each position in the blood vessel using the second three-dimensional image G2. A second analysis process for deriving, a matching degree deriving process for deriving a matching degree at a corresponding position between the first result and the second result, based on either one of the first result and the second result, Also, a display control process for displaying at least one of the first result and the second result on the display unit 14 according to the degree of coincidence is defined.

The computer functions as the image acquisition unit 20, the first analysis unit 21, the second analysis unit 22, the coincidence derivation unit 23, and the display control unit 24 by the CPU 11 executing these processes according to the program.

The image acquisition unit 20 acquires the first and second three-dimensional images G1 and G2 from the image storage server 3. When the first and second three-dimensional images G1 and G2 are already stored in the storage 13, the image acquisition unit 20 acquires the first and second three-dimensional images G1 and G2 from the storage 13. You may do it.

The first analysis unit 21 analyzes the first three-dimensional image G1 and derives the first result R1 regarding the blood flow at each position in the blood vessel. In the present embodiment, the first analysis unit 21 first extracts the blood vessel region from the first three-dimensional image G1. Specifically, the first analysis unit 21 performs the multi-resolution conversion on the first three-dimensional image G1, performs the eigenvalue analysis of the Hessian matrix on the image of each resolution, and the analysis result in the image of each resolution. Are integrated to extract the coronary artery region as a blood vessel region as an aggregate of line structures (blood vessels) of various sizes in the heart region included in the first three-dimensional image G1 (for example, Y Sato, et al ., "Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.”, Medical Image Analysis, June 1998, Vol.2, No.2, pp143-168, etc.). Further, by using a minimum spanning tree algorithm or the like, by connecting the center points of the extracted line structures, data of a tree structure representing the coronary arteries is generated, and each of the core lines connecting the center points of the extracted coronary arteries is generated. At each point (each node of the tree structure data), a cross section orthogonal to the core line is obtained, and at each cross section, the contour of the coronary artery is recognized by using a well-known segmentation method such as the graph cut method, and the information indicating the contour is given as the tree structure. The area of the coronary artery may be extracted as the blood vessel area by associating it with each node of the data.

Note that the method of extracting the blood vessel region is not limited to the above method, and other known methods such as the region expansion method may be used.

Then, the first analysis unit 21 derives the velocity vector at each voxel position in the blood vessel as the first result R1 using the velocity information in the blood vessel region extracted from the first three-dimensional image G1. FIG. 3 is a diagram showing a first three-dimensional image G1 captured by the three-dimensional cine phase contrast magnetic resonance method. As shown in FIG. 3, the image data of the first three-dimensional image G1 captured by the three-dimensional cine phase contrast magnetic resonance method includes magnitude data M, phase data Phx in the X direction, phase data Phy in the Y axis direction, And phase data Phz in the Z-axis direction include three-dimensional data obtained in a predetermined cycle (for example, cardiac cycle) along the time t. The phase data Phx in the X direction, the phase data Phy in the Y axis direction, and the phase data Phz in the Z axis direction encode magnitude data M in the X axis direction, the Y axis direction, and the Z axis direction (VENC: velocity encoding). It is generated by The phase data Phx in the X direction, the phase data Phy in the Y axis direction, and the phase data Phz in the Z axis direction are data representing the flow velocity in each axis direction. The first analysis unit 21 derives a three-dimensional flow velocity vector (hereinafter referred to as a flow velocity vector) at each voxel position of the first three-dimensional image G1 as the first result R1 from the three phase data. Although the flow velocity vector is derived at each voxel position of the first three-dimensional image G1, the flow velocity vector is not limited to this, and at a predetermined voxel interval (for example, 5 voxels, 10 voxels, etc.). You may derive it. Further, one flow velocity vector may be derived in a region composed of a plurality of voxels.

The image acquisition unit 20 acquires a three-dimensional ultrasonic image captured in time series by Doppler measurement, and acquires a flow velocity vector using the velocity information in the blood vessel region acquired based on the ultrasonic image. Then, the first result R1 may be derived.

The second analysis unit 22 uses the second three-dimensional image G2 to simulate the blood flow at each position in the blood vessel, and derives the second result R2 regarding the blood flow. For this purpose, the second analysis unit 22 first extracts the blood vessel region from the second three-dimensional image G2. The extraction of the blood vessel region may be performed in the same manner as the above-described first analysis unit 21. Then, the second analysis unit 22 performs a blood flow analysis by CFD (Computational Fluid Dynamics) using the extracted blood vessel region to obtain the second velocity vector at each voxel position of the second three-dimensional image G2. The result R2 is acquired. The second result R2 may also be derived at a predetermined voxel interval in the second three-dimensional image G2, or one flow velocity vector may be derived in a region including a plurality of voxels. .

Note that the first three-dimensional image G1 has lower spatial resolution and temporal resolution than the second three-dimensional image G2 due to restrictions in the MRI apparatus. Therefore, when viewed spatially, the first result R1 is derived at a larger interval than the second result R2. FIG. 4 is a diagram showing a first result and a second result in the same blood vessel region. As shown in FIG. 4, when compared with the flow velocity vector of the second result R2, the flow velocity vector of the first result R1 is spatially wider in the first result R1.

The coincidence degree deriving unit 23 derives the coincidence degree C0 at the voxel position corresponding to the first result R1 and the second result R2, based on either one of the first result R1 and the second result R2. To do. In the present embodiment, the degree of coincidence C0 is derived based on the second result R2, but the present invention is not limited to this. Here, as described above, the spatial resolution of the flow velocity vector of the first result R1 is lower than the spatial resolution of the flow velocity vector of the second result R2. Therefore, the coincidence degree deriving unit 23 matches the spatial resolutions of the first result R1 and the second result R2 so that the first result R1 has the same spatial resolution as the second result R2. Specifically, the flow velocity vector of the first result R1 at all voxel positions from which the flow velocity vector is derived in the second result R2 is interpolated with the flow velocity vector of the first result R1 derived by the first analysis unit 21. It derives by doing. FIG. 5 is a diagram showing the first result R1 obtained by matching the spatial resolution with the second result R2 by the interpolation calculation.

Then, the coincidence degree deriving unit 23 derives the inner product of the flow velocity vectors at the corresponding voxel positions of the first result R1 and the second result R2 as the coincidence degree C0. The degree of coincidence C0 may be derived from the flow velocity vectors at the corresponding voxel positions, but the average value of the flow velocity vectors within a predetermined range based on each voxel position is calculated as the flow velocity vector at each voxel position. Then, the degree of coincidence C0 may be derived using the calculated flow velocity vector. Note that the average value may be a weighted average value in which the weighting is reduced as the distance from the voxel position of interest increases.

The display control unit 24 displays at least one of the first result R1 and the second result R2 on the display unit 14 according to the degree of coincidence C0 derived by the degree of coincidence derivation unit 23. In the present embodiment, the second result R2 is displayed, and the display mode of the displayed second result R2 is changed according to the degree of coincidence C0. The first result R1 may be displayed, and the display mode of the displayed first result R1 may be changed according to the degree of coincidence C0. FIG. 6 is a diagram showing a display screen of the first result and the second result according to the degree of coincidence C0. As shown in FIG. 6, in the display screen 30, the second result R2 has a larger density of the flow velocity vector as the degree of coincidence C0 with the first result R1 is larger. In the display screen 30, the degree of coincidence C0 between the first result R1 and the second result R2 is larger toward the right side, and the degree of coincidence C0 is smaller toward the left side.

Actually, as shown in FIG. 7, in the display screen 30A displaying the morphological image 31 of the blood vessel displayed on the display unit 14, the flow velocity vector of the second result R2 is displayed according to the degree of coincidence C0. It will be displayed in the form. Here, in FIG. 7, the interval between the flow velocity vectors is increased for the sake of explanation, but in reality, the first result R1 and the second result R2 are obtained in each voxel position or in an area including a plurality of voxels. The flow velocity vector is displayed every time.

Further, in FIG. 6, although the density of the flow velocity vector is changed according to the degree of coincidence C0, the color may be changed, the transparency may be changed, and the type of line of the flow velocity vector (broken line and The solid line, etc.) may be changed. Further, the display mode may be changed by combining these.

Next, the processing performed in this embodiment will be described. FIG. 8 is a flowchart showing the processing performed in this embodiment. First, the image acquisition unit 20 acquires the first and second three-dimensional images G1 and G2 from the image storage server 3 (image acquisition; step ST1). Then, the first analysis unit 21 analyzes the first three-dimensional image G1 and derives the first result R1 regarding the blood flow at each position in the blood vessel (step ST2). Further, the second analysis unit 22 simulates the blood flow at each position in the blood vessel and derives the second result R2 regarding the blood flow (step ST3). The process of step ST3 may be performed first, or the process of step ST2 and the process of step ST3 may be performed in parallel.

Next, the coincidence degree deriving unit 23 derives a coincidence degree C0 at a position where the first result R1 and the second result R2 correspond to each other, based on either the first result or the second result. (Step ST4). Then, the display control unit 24 displays at least one of the first result R1 and the second result R2 on the display unit 14 according to the degree of coincidence C0 (result display; step ST5), and ends the process.

As described above, according to the present embodiment, the degree of coincidence at the corresponding position between the first result R1 and the second result R2 based on either the first result R1 or the second result R2. C0 is derived and at least one of the first result R1 and the second result R2 is displayed according to the degree of coincidence C0. Therefore, the user sees at least one of the first result R1 and the second result R2 that are displayed, and how much the first result R1 and the second result R2 are at each position in the blood vessel. Can recognize if they match. Therefore, according to the present embodiment, the difference between the first result R1 and the second result R2, that is, the result derived by analyzing the first three-dimensional image G1 image and the result derived by the simulation. Can be easily recognized.

In the above embodiment, the display screen 30 of the second result R2 whose display mode is changed according to the degree of coincidence C0 is displayed on the display unit 14 as shown in FIG. 6, but the present invention is not limited to this. Not something. For example, as shown in FIG. 9, the display control unit 24 causes the display unit 14 to display a display screen 32 including a bar 40 for switching which of the first result R1 and the second result R2 is displayed. May be. In the display screen 32 shown in FIG. 9, the bar 40 is switched so as to display the second result R2 derived by CFD. When the bar 40 is switched to display the first result R1 which is the 4D flow, the first result R1 is displayed and the degree of coincidence with the second result R2 is displayed as shown in the display screen 33 of FIG. The larger C0 is, the darker the density of the flow velocity vector is.

Further, the display control unit 24 may display one of the first result R1 and the second result R2, and further display the other result in a display mode according to the degree of coincidence C0. For example, as shown in the display screen 34 of FIG. 11, the second result R2 may be displayed, and the first result R1 may be further displayed in a display mode according to the degree of coincidence C0. The first result R1 may be displayed, and the second result R2 may be displayed in a display mode according to the degree of coincidence C0. On the display screen 34 shown in FIG. 11, the flow velocity vector, which is the second result R2, is displayed in a display mode according to the degree of coincidence C0, as in the case of FIG. As a result, the flow velocity vector that is R1 is displayed in a display mode according to the degree of coincidence C0. In the display screen 34 shown in FIG. 11, the flow velocity vector of the first result R1 is highlighted by a thick broken line as the degree of coincidence C0 is smaller. Therefore, on the display screen 34, the first result R1 is displayed together with the second result R2 so that it can be recognized that the coincidence C0 gradually decreases.

Regarding the change of the display mode of the flow velocity vector of the first result R1, the thickness of the broken line is changed according to the coincidence C0, but the color may be changed or the transparency may be changed. Good. Further, the display mode may be changed by combining these.

Further, as shown in the display screen 35 of FIG. 12, a bar 45 for selecting which of the first result R1 and the second result R2 is to be displayed is displayed at a position where the degree of coincidence C0 is small. You may In FIG. 12, since the 4D flow, that is, the first result R1 is selected in the bar 45, for the position where the degree of coincidence C0 is small, for example, the degree of coincidence C0 is equal to or less than a predetermined threshold Th1. Displays the flow velocity vector of the first result R1 instead of the second result R2. In the display screen 35 shown in FIG. 12, the flow velocity vector of the first result R1 is indicated by a dashed arrow. In the display screen 35 shown in FIG. 12, if the bar 45 is switched to the CFD side, only the second result R2 is displayed as in FIG. The threshold value Th1 may be changed to an arbitrary value by inputting from the input unit 15.

In the above embodiment, the flow velocity vector at each position in the blood vessel is derived as the first result R1 and the second result R2, but the present invention is not limited to this. In addition to the flow velocity vector, for example, fluid pressure, wall shear stress (WSS (Wall Shear Stress)), vorticity, helicity and the like may be used as the first result R1 and the second result R2.

Further, in the above embodiment, the blood vessel is used as the structure through which the fluid flows, but the structure is not limited to this. For example, considering visualization of the flow of cerebrospinal fluid, the structures inside which the cerebrospinal fluid flows are the ventricle in the skull, especially the subarachnoid space, and the spinal canal inside the spinal subarachnoid space. It may be used as a structure through which a fluid flows. Alternatively, a lymph vessel in which lymph flows may be used.

In addition, in the above-described embodiment, the image of the human body is targeted, but the present invention is not limited to this. For example, it is needless to say that the present disclosure can be applied when analyzing the flow of a fluid flowing in a pipe.

Further, in the above-described embodiment, for example, a processing unit (Processing Unit) that executes various processes such as the image acquisition unit 20, the first analysis unit 21, the second analysis unit 22, the coincidence degree derivation unit 23, and the display control unit 24. As a hardware structure, the following various processors can be used. As mentioned above, in addition to the CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, the above-mentioned various processors include circuits after manufacturing FPGA (Field Programmable Gate Array) etc. Programmable Logic Device (PLD), which is a processor whose configuration can be changed, and dedicated electrical equipment, which is a processor that has a circuit configuration specifically designed to execute specific processing such as ASIC (Application Specific Integrated Circuit) Circuits etc. are included.

One processing unit may be configured by one of these various processors, or a combination of two or more processors of the same type or different types (for example, a combination of a plurality of FPGAs or a combination of a CPU and an FPGA). ). Further, a plurality of processing units may be configured by one processor.

As an example of configuring a plurality of processing units by one processor, firstly, one processor is configured by a combination of one or more CPUs and software, as represented by computers such as clients and servers. There is a form in which this processor functions as a plurality of processing units. Secondly, as represented by system-on-chip (SoC), etc., there is a form in which a processor that realizes the functions of the entire system including a plurality of processing units by one IC (Integrated Circuit) chip is used. is there. As described above, the various processing units are configured using one or more of the above various processors as a hardware structure.

Furthermore, as the hardware structure of these various processors, more specifically, an electric circuit (Circuitry) in which circuit elements such as semiconductor elements are combined can be used.

1 Fluid Analysis Device 2 3D Image Capture Device 3 Image Storage Server 4 Network 11 CPU
12 memory 13 storage 14 display section 15 input section 20 image acquisition section 21 first analysis section 22 second analysis section 23 coincidence derivation section 24

display control section

30, 30A, 32-35 display screen 31 morphological image 40, 45 bar M Magnitude data Phx Phase data Phy Phase data Phz Phase data R1 1st result R2 2nd result

Claims

A first analysis unit that analyzes an image obtained by capturing an object including a structure in which a fluid flows, and derives a first result regarding the flow of the fluid at each position in the structure;
A second analysis unit that simulates the flow of the fluid at each position in the structure and derives a second result regarding the flow of the fluid;
A coincidence degree deriving unit that derives a coincidence degree at a corresponding position between the first result and the second result, based on either one of the first result and the second result,
A fluid analysis device comprising: a display control unit that displays at least one of the first result and the second result on a display unit according to the degree of coincidence.
The display control unit displays one of the first result and the second result, and displays one of the displayed first result and the second result according to the degree of coincidence. The fluid analysis device according to claim 1, wherein the display mode of is changed.
The display control unit displays one of the first result and the second result, and further displays the other result in a display mode according to the degree of coincidence. Fluid analysis device.
The fluid analysis device according to claim 3, wherein the display control unit emphasizes the other result as the degree of matching is smaller.
The display control unit displays one of the first result and the second result at a position where the degree of coincidence is a predetermined threshold value or more, and the degree of coincidence is the threshold value. The fluid analysis device according to claim 1 or 2, further displaying the other result in a display mode according to the degree of coincidence at a position where the value is less than 3.
The image is a three-dimensional image obtained by photographing the subject by a three-dimensional cine phase contrast magnetic resonance method,
The fluid analysis device according to claim 1, wherein the first analysis unit derives a flow velocity vector of the fluid acquired by analyzing the three-dimensional image as the first result. .
7. The second analysis unit derives, as the second result, a flow velocity vector of the fluid acquired by simulating the flow of the fluid by analysis using computational fluid dynamics. The fluid analysis device according to item 1.
The fluid analysis device according to any one of claims 1 to 7, wherein the structure is a blood vessel and the fluid is blood.
The display control unit displays a morphological image of the structure on the display unit, and displays at least one of the first result and the second result on the morphological image according to the degree of coincidence. Item 9. The fluid analysis device according to any one of items 1 to 8.
An image acquired by capturing an object including a structure in which a fluid flows inside is analyzed to derive a first result regarding the flow of the fluid at each position in the structure,
Simulating the fluid flow at each location within the structure to derive a second result for the fluid flow,
Deriving a degree of coincidence at the corresponding position between the first result and the second result, based on either one of the first result and the second result,
A fluid analysis method for displaying at least one of the first result and the second result on a display unit according to the degree of coincidence.
A procedure of analyzing an image acquired by capturing an object including a structure in which a fluid flows, and deriving a first result regarding the flow of the fluid at each position in the structure;
Simulating the flow of the fluid at each position in the structure to derive a second result for the flow of the fluid;
A procedure of deriving a degree of coincidence at a corresponding position between the first result and the second result, based on one of the first result and the second result.
A fluid analysis program for causing a computer to execute a procedure of displaying at least one of the first result and the second result on a display unit according to the degree of coincidence.