JP7059391B2 - Fluid analyzers, methods and programs - Google Patents

Description

The present disclosure relates to fluid analyzers, methods and programs that analyze and display fluid flow.

In recent years, blood flow in blood vessels has been analyzed using medical images of the heart, brain, and the like. As a blood flow analysis method using such a medical image, for example, a 4D flow method for four-dimensionally measuring an actual blood flow is used. For 4D flow, for example, using a 3D MRI (Magnetic Resonance Imaging) image taken by a 3D cine phase contrast magnetic resonance method, a flow velocity vector is derived for each voxel, each pixel, or each region, and this is used for time. It is a method of dynamically displaying along with the flow. In addition, a method of grasping the blood flow by simulation 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 expressing the actual blood flow, but there are restrictions on the spatial resolution and the temporal resolution. Further, since the blood flow is underestimated in the portion where turbulence or the like occurs, the velocity information may not appear in the MRI image in that portion. On the other hand, although CFD can arbitrarily set the spatial resolution and the temporal resolution, since it is only a simulation, it is necessary to sufficiently determine whether the result is appropriate.

Therefore, a method for analyzing blood flow by combining a flow velocity vector derived by 4D flow and a flow velocity vector derived by CFD has been proposed (Japanese Patent Laid-Open No. 2016-135265). reference). In addition, a method for displaying the result derived by 4D flow and the result derived by CFD and letting the user confirm it has also been proposed (van Ooij P, et al., "3D cine phase-contrast". MRI at 3T in intracranial aneurysms compared with patient-specific computational fluid dynamics ", AJNR Am J Neuroradiol. 2013 Sep; 34 (9): 1785-91). According to the methods described in JP-A-2016-135265 and the literature of Ooij P et al., Using both the results derived by 4D flow and the results obtained by CFD, the advantages of both can be utilized. It enables diagnosis and treatment.

However, in the method described in the literature 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, it is not possible to confirm the result derived by analyzing the image and the result derived by the simulation 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 of the present disclosure is to make it possible to easily recognize the difference between the result derived by analyzing the image and the result derived by the simulation.

The fluid analysis apparatus according to the present disclosure analyzes an image acquired by photographing a subject including a structure in which the fluid flows inside, and derives a first result regarding the flow of the fluid at each position in the structure. 1 Analysis unit and
A second analysis unit that simulates the fluid flow at each position in the structure and derives a second result regarding the fluid flow.

A matching degree deriving unit that derives the degree of matching between the first result and the second result at the corresponding positions based on either the first result or 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 is provided.

"Each position" includes not only the pixel position and voxel position of the image but also the position of the area consisting of a plurality of pixels (voxels).

"Results on fluid flow" include flow velocity vectors, fluid pressures, WSS (Wall Shear Stress), vorticity and helicity.

In the fluid analysis apparatus 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 agreement. The display mode of any one of the results may be changed.

Further, in the fluid analysis apparatus according to the present disclosure, the display control unit displays either the first result or the second result, and further displays the other result in a display mode according to the degree of agreement. May be.

Further, in the fluid analysis apparatus according to the present disclosure, the display control unit may highlight the other result as the degree of agreement is smaller.

Further, in the fluid analysis apparatus 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 matching is equal to or higher than a predetermined threshold value and matches. At a position where the degree is less than the threshold value, the other result may be further displayed by the display mode according to the degree of matching.

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

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

Further, in the fluid analyzer according to the present disclosure, the structure may be a blood vessel and the fluid may be blood.

Further, in the fluid analysis apparatus according to the present disclosure, the display control unit displays a 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.

The fluid analysis method according to the present disclosure analyzes an image acquired by photographing a subject including a structure in which the fluid flows inside, and derives a first result regarding the flow of the fluid at each position in the structure.
Simulate the fluid flow at each position in the structure to derive a second result for the fluid flow.
Derived the degree of agreement between the first result and the second result at the corresponding positions based on either the first result or 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 matching.

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

Other fluid analyzers according to the present disclosure include a memory for storing instructions to be executed by a computer and a memory.
The processor comprises a processor configured to execute a stored instruction.
The image acquired by photographing the subject including the structure in which the fluid flows inside is analyzed to derive the first result regarding the fluid flow at each position in the structure.
Simulate the fluid flow at each position in the structure to derive a second result for the fluid flow.
Derived the degree of agreement between the first result and the second result at the corresponding positions based on either the first result or 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 matching.

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 diagnostic support system to which the fluid analyzer according to the embodiment of the present disclosure is applied. The figure which shows the schematic structure of the fluid analysis apparatus by embodiment of this disclosure. A diagram showing a first 3D image taken by a 3D cine phase contrast magnetic resonance method. The figure which shows the 1st result and the 2nd result in the same vascular area. The figure which shows the 1st result which matched the spatial resolution with the 2nd result by the interpolation operation. The figure which shows the display screen of at least one of the 1st result and the 2nd result according to the degree of agreement. The figure which shows the state which at least one of the 1st result and the 2nd result is displayed in the morphological image of a blood vessel. Flow chart showing processing performed in this embodiment The figure which shows the other example of the display screen of at least one of the 1st result and the 2nd result according to the degree of agreement. The figure which shows the other example of the display screen of at least one of the 1st result and the 2nd result according to the degree of agreement. The figure which shows the other example of the display screen of at least one of the 1st result and the 2nd result according to the degree of agreement. The figure which shows the other example of the display screen of at least one of the 1st result and the 2nd result according to the degree of agreement.

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 diagnostic support system to which the fluid analysis apparatus according to the embodiment of the present disclosure is applied. As shown in FIG. 1, in the diagnostic 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 the network 4. ..

The three-dimensional imaging device 2 is a device that generates a three-dimensional image representing the site by photographing the site to be diagnosed of the subject, and specifically, a CT device, an MRI device, and a PET (PET). Positron Emission Tomography) Equipment, etc. 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 this embodiment, the case of acquiring a three-dimensional image of the patient's heart (corresponding to the subject of the present disclosure) will be described, but the present invention is not limited to this, and other organs such as lungs, liver and head may be used. In particular, in the present 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 apparatus is acquired as a first three-dimensional image G1, and a contrast CT image obtained by photographing the subject using a contrast agent in a CT apparatus. Is acquired as the second three-dimensional image G2. However, the types of acquired three-dimensional images are not limited to these. Also, the blood vessels of the heart correspond to the structures of the present disclosure, and the blood corresponds to the fluids of the present disclosure.

The image storage server 3 is a computer that stores and manages various types of 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 send 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 are acquired via the network and stored in a recording medium such as a large-capacity external storage device for management. 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 a computer in which the fluid analysis program of the present disclosure is installed. The computer may be a workstation or personal computer directly operated by the diagnosing doctor, or it may be a server computer connected to them via a network. The fluid analysis program is recorded and distributed on a recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory), and is installed in a computer from the recording medium. Alternatively, it is stored in a storage device of a server computer connected to a network or in a network storage in a state 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 analyzer 1 includes a CPU (Central Processing Unit) 11, a memory 12, and a storage 13 as a standard workstation configuration. Further, the fluid analysis device 1 is connected to a display unit 14 such as a liquid crystal display and an input unit 15 such as a keyboard and a mouse.

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

Further, the fluid analysis program is stored in the memory 12. The fluid analysis program analyzes the image acquisition process for acquiring the first and second three-dimensional images G1 and G2 of the subject and the first three-dimensional image G1 as the process to be executed by the CPU 11, and each position in the blood vessel. The second result regarding the blood flow is obtained by simulating the blood flow at each position in the blood vessel using the first analysis process for deriving the first result regarding the blood flow in the blood vessel and the second three-dimensional image G2. The second analysis process to be derived, the match degree derivation process to derive the degree of coincidence between the first result and the second result at the corresponding positions based on either the first result or the second result. Further, 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 matching is specified.

Then, when the CPU 11 executes these processes according to the program, the computer functions as an image acquisition unit 20, a first analysis unit 21, a second analysis unit 22, a matching degree derivation unit 23, and a display control unit 24.

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 try to do it.

The first analysis unit 21 analyzes the first three-dimensional image G1 to derive 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 a blood vessel region from the first three-dimensional image G1. Specifically, the first analysis unit 21 performs multiple-resolution conversion on the first three-dimensional image G1, performs eigenvalue analysis of the Hesse matrix on the image of each resolution, and analyzes the analysis result in the image of each resolution. By integrating, the region of the coronary artery is extracted as the vascular region as a collection of line structures (blood vessels) of various sizes in the cardiac region contained in the first 3D image G1 (eg, 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, p.p.143-168, etc.). In addition, by connecting the center points of each extracted line structure using the minimum spanning tree algorithm, etc., data of the tree structure representing the coronary arteries is generated, and each on the core line connecting the center points of the extracted coronary arteries. At points (each node of the tree structure data), the cross section orthogonal to the core line is obtained, and at each cross section, the contour of the coronary artery is recognized using a known segmentation method such as the graph cut method, and the information representing the contour is given to the tree structure. The area of the coronary artery may be extracted as a vascular area by associating it with each node of the data.

The method for 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 flow velocity vector at each voxel position in the blood vessel as the first result R1 by 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 taken by a three-dimensional cine phase contrast magnetic resonance method. As shown in FIG. 3, the image data of the first three-dimensional image G1 taken by the three-dimensional cine phase contrast magnetic resonance method includes magnitude data M, phase data Phx in the X direction, and phase data Phy in the Y-axis direction. And the phase data Phz in the Z-axis direction includes three-dimensional data obtained in a predetermined period (for example, a cardiac period) along the time t. The phase data Phx in the X-axis, the phase data Phy in the Y-axis direction, and the phase data Phz in the Z-axis direction encode the magnitude data M in the X-axis direction, the Y-axis direction, and the Z-axis direction (VENC: velocity encoding). 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 axial 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 from the three phase data as the first result R1. The flow velocity vector is derived at each voxel position of the first three-dimensional image G1, but is not limited to this, and is not limited to this, and is set at a predetermined voxel interval (for example, 5 voxels, 10 voxels, etc.). It may be derived. 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 taken 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 simulates the blood flow at each position in the blood vessel using the second three-dimensional image G2, 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. Extraction of the blood vessel region may be performed in the same manner as in the first analysis unit 21 described above. Then, the second analysis unit 22 performs a blood flow analysis by CFD (Computational Fluid Dynamics) using the extracted blood vessel region to obtain a second flow velocity vector at each voxel position of the second three-dimensional image G2. Obtained as the result R2. 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 composed of a plurality of voxels. ..

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 vascular region. As shown in FIG. 4, the flow velocity vector of the first result R1 is spatially wider in the first result R1 as compared with the flow velocity vector of the second result R2.

The matching degree deriving unit 23 derives the matching degree C0 at the corresponding voxel positions of the first result R1 and the second result R2 based on either the first result R1 or the second result R2. do. In the present embodiment, the degree of coincidence C0 based on the second result R2 is derived, 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 derivation unit 23 makes the spatial resolution of the first result R1 and the spatial resolution of the second result R2 match so that the spatial resolution of the first result R1 is the same as that of the second result R2. Specifically, the flow velocity vector of the first result R1 at all the voxel positions from which the flow velocity vector is derived in the second result R2 is interpolated, and the flow velocity vector of the first result R1 derived by the first analysis unit 21 is interpolated. It is derived by doing. FIG. 5 is a diagram showing the first result R1 in which the spatial resolution is matched with the second result R2 by the interpolation calculation.

Then, the matching 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 matching 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. 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 matching degree C0 derived by the matching degree deriving 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 displayed 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 agreement C0. As shown in FIG. 6, on the display screen 30, the larger the degree of coincidence C0 with the first result R1 in the second result R2, the higher the concentration of the flow velocity vector. On 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, on 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 mode. Here, in FIG. 7, the interval of the flow velocity vector is increased for the sake of explanation, but in reality, the region consisting of each voxel position or a plurality of voxels from which the first result R1 and the second result R2 are acquired is increased. The flow velocity vector will be displayed each 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 or the transparency may be changed, and the type of the line of the flow velocity vector (broken line and You may change (solid line, etc.). 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 the present 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 matching degree deriving unit 23 derives the matching degree C0 at the corresponding positions of the first result R1 and the second result R2 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 between the first result R1 and the second result R2 at the corresponding positions based on either the first result R1 or the second result R2 is used as a reference. C0 was derived and at least one of the first result R1 and the second result R2 was displayed according to the degree of coincidence C0. Therefore, by looking at at least one of the displayed first result R1 and second result R2, the user sees how much the first result R1 and the second result R2 are at each position in the blood vessel. You can recognize whether 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. The difference with can be easily recognized.

In the above embodiment, as shown in FIG. 6, 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, but the present invention is limited to this. It's not something. For example, as shown in FIG. 9, the display control unit 24 displays a display screen 32 including a bar 40 for switching whether to display the first result R1 or the second result R2 on the display unit 14. You may. 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 a 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 the C0, the higher the concentration of the flow velocity vector.

Further, the display control unit 24 may display either the first result R1 or the second result R2, and may further display the other result according to the display mode according to the degree of coincidence C0. For example, as shown on the display screen 34 of FIG. 11, the second result R2 may be displayed, and the first result R1 may be further displayed according to the display mode according to the degree of coincidence C0. The first result R1 may be displayed, and the second result R2 may be displayed according to the 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 corresponding to the degree of coincidence C0, as in FIG. 6, and the smaller the degree of coincidence C0, the first. As a result, the flow velocity vector, which is R1, is displayed in a display mode corresponding 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, the first result R1 is displayed together with the second result R2 so that the display screen 34 can recognize that the degree of coincidence C0 gradually decreases.

Regarding the change in the display mode of the flow velocity vector of the first result R1, the thickness of the broken line is changed according to the degree of 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 on the display screen 35 of FIG. 12, for the position where the degree of coincidence C0 is small, a bar 45 for selecting whether to display the first result R1 or the second result R2 is displayed. You may do it. In FIG. 12, since the 4D flow, that is, the first result R1 is selected in the bar 45, for a 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 value 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 broken line arrow. If the bar 45 is switched to the CFD side on the display screen 35 shown in FIG. 12, only the second result R2 is displayed as in FIG. The threshold value Th1 may be changed to an arbitrary value by input from the input unit 15.

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

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

Further, in the above embodiment, an image targeting a human body is targeted, but the present invention is not limited to this. For example, it goes without saying that the present disclosure can also be applied when analyzing the flow of a fluid flowing in a pipe.

Further, in the above embodiment, for example, a processing unit that executes various processes such as an image acquisition unit 20, a first analysis unit 21, a second analysis unit 22, a matching degree derivation unit 23, and a display control unit 24. As the hardware structure, various processors (Processors) shown below can be used. As described above, the various processors include CPUs, which are general-purpose processors that execute software (programs) and function as various processing units, as well as circuits after manufacturing FPGAs (Field Programmable Gate Arrays) and the like. Dedicated electricity, which is a processor with a circuit configuration specially designed to execute specific processing such as Programmable Logic Device (PLD), which is a processor whose configuration can be changed, and ASIC (Application Specific Integrated Circuit). Circuits etc. are included.

One processing unit may be composed of 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). ) May be configured. Further, a plurality of processing units may be configured by one processor.

As an example of configuring a plurality of processing units with one processor, first, as represented by a computer such as a client and a server, one processor is configured by a combination of one or more CPUs and software. There is a form in which this processor functions as a plurality of processing units. Second, as typified by System On Chip (SoC), there is a form that uses a processor that realizes the functions of the entire system including multiple processing units with one IC (Integrated Circuit) chip. be. As described above, the various processing units are configured by using one or more of the above-mentioned various processors as a hardware-like structure.

Further, 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 imaging device 3 Image storage server 4 Network 11 CPU
12 Memory 13 Storage 14 Display unit 15 Input unit 20 Image acquisition unit 21 1st analysis unit 22 2nd analysis unit 23 Matching degree derivation unit 24 Display control unit 30, 30A, 32 to 35 Display screen 31 Morphological image 40, 45 bar M Magnitude data Phx phase data Phy phase data Phz phase data R1 first result R2 second result

Claims (12)

A first analysis unit that analyzes an image acquired by photographing a subject including a structure in which a fluid flows inside 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 matching degree deriving unit that derives a matching degree at a position corresponding to the first result and the second result based on either the first result or the second result.
A display control unit is provided which displays one of the first result and the second result on the display unit and further displays the other result on the display unit according to the display mode according to the degree of agreement . Fluid analyzer. The fluid analysis device according to claim 1, wherein the display control unit highlights the other result as the degree of agreement is smaller. A first analysis unit that analyzes an image acquired by photographing a subject including a structure in which a fluid flows inside 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 matching degree deriving unit that derives a matching degree at a position corresponding to the first result and the second result based on either the first result or the second result.
At a position where the degree of agreement is equal to or higher than a predetermined threshold value, either the first result or the second result is displayed on the display unit, and the degree of agreement is less than the threshold value. A fluid analysis device including a display control unit that further displays the other result on the display unit in a display mode according to the degree of coincidence at the position . The present invention according to any one of claims 1 to 3, wherein the display control unit changes the display mode of either the first result and the second result displayed according to the degree of matching. Fluid analyzer. The image is a three-dimensional image acquired by photographing the subject by a three-dimensional cine phase contrast magnetic resonance method.
The fluid analysis device according to any one of claims 1 to 4 , wherein the first analysis unit derives the flow velocity vector of the fluid acquired by analyzing the three-dimensional image as the first result. .. The second analysis unit is any one of claims 1 to 5 for deriving the flow velocity vector of the fluid acquired by simulating the flow of the fluid by analysis using computational fluid dynamics as the second result. The fluid analyzer according to item 1. The fluid analyzer according to any one of claims 1 to 6 , 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 6. The fluid analyzer according to any one of Items 1 to 7 . The image acquired by photographing the subject including the structure in which the fluid flows inside is analyzed to derive the first result regarding the flow of the fluid at each position in the structure.
The flow of the fluid at each position in the structure is simulated to derive a second result regarding the flow of the fluid.
Based on either the first result or the second result, the degree of agreement at the corresponding position between the first result and the second result is derived.
A fluid analysis method in which one of the first result and the second result is displayed on the display unit, and the other result is further displayed on the display unit according to the display mode according to the degree of agreement . The image acquired by photographing the subject including the structure in which the fluid flows inside is analyzed to derive the first result regarding the flow of the fluid at each position in the structure.
The flow of the fluid at each position in the structure is simulated to derive a second result regarding the flow of the fluid.
Based on either the first result or the second result, the degree of agreement at the corresponding position between the first result and the second result is derived.
At a position where the degree of agreement is equal to or higher than a predetermined threshold value, either the first result or the second result is displayed on the display unit, and the degree of agreement is less than the threshold value. A fluid analysis method in which the other result is further displayed on the display unit in a display mode according to the degree of coincidence at a position . A procedure for analyzing an image acquired by photographing a subject including a structure in which a fluid flows inside, and deriving a first result regarding the flow of the fluid at each position in the structure.
A procedure for simulating the flow of the fluid at each position in the structure to derive a second result regarding the flow of the fluid.
A procedure for deriving a degree of agreement between the first result and the second result at a corresponding position based on either the first result or the second result, and a procedure for deriving the degree of coincidence between the first result and the second result.
One of the first result and the second result is displayed on the display unit, and the computer is made to execute a procedure of further displaying the other result on the display unit according to the display mode according to the degree of agreement . Fluid analysis program. A procedure for analyzing an image acquired by photographing a subject including a structure in which a fluid flows inside, and deriving a first result regarding the flow of the fluid at each position in the structure.
A procedure for simulating the flow of the fluid at each position in the structure to derive a second result regarding the flow of the fluid.
A procedure for deriving a degree of agreement between the first result and the second result at a corresponding position based on either the first result or the second result, and a procedure for deriving the degree of coincidence between the first result and the second result.
At a position where the degree of agreement is equal to or higher than a predetermined threshold value, either the first result or the second result is displayed on the display unit, and the degree of agreement is less than the threshold value. A fluid analysis program that causes a computer to perform a procedure of further displaying the other result on the display unit in a display mode according to the degree of coincidence at a position .

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