JP6865468B2 - Endovascular treatment simulation device and method - Google Patents

Description

The present invention relates to endovascular treatment for vascular lesions.

So-called "endovascular treatment" is a treatment method for local stenosis of blood vessels due to arteriosclerosis and local dilation of blood vessels due to aneurysms. It is for rebuilding. Treatment is performed to reconstruct the vascular shape by placing the device in the vascular lesion using a catheter in an X-ray contrast environment. For example, in the case of stenosis of a blood vessel, indwelling using a stent is typical, and in the case of aneurysm of a blood vessel, embolization using a coil is typical.

On the other hand, due to the progress of medical device development in recent years, the diversification of devices is advancing day by day. Stents are diversified centering on the materials that make up them, such as metal stents, drug-eluting stents, and biodegradable stents. In addition, there are many coils with different materials and hardness. In the case of a cerebral aneurysm, since it is desired to occlude the inside of the aneurysm, not only a coil but also a blood flow avoidance device made of a wire material called an intracranial artery stent or a flow diverter is clinically utilized.

On the other hand, as a result of such diversification of endovascular treatment devices, which device should be used at what timing maximizes the therapeutic effect and minimizes the treatment risk according to the condition of each different patient. Is getting harder to get statistical information. That is, it is becoming difficult to make a judgment by the conventional evaluation method based on biostatistics. This is because the life cycle of each device is becoming shorter due to the speeding up and diversification of device development, and as a result, the number of cases for individual device use cases is as high as before the device diversification. This is due to the fact that it is difficult to accumulate data, which makes it difficult to apply an evaluation method based on a large number of cases.

Therefore, there is an attempt to maximize the therapeutic effect and minimize the therapeutic risk by simulating the treatment itself on a computer for each endovascular treatment device. However, the endovascular treatment devices used in clinical practice are no longer purely made of simple materials and shapes that can be defined from mechanical strength and dimensions, but are established as a system involving extremely complex elements. There is. The treatment simulations that have been used so far can be roughly divided into "morphological simulations" (morphological methods) and "computational simulations" (computational methods). "Morphological simulation" considers only the morphology and not the mechanical strength of the material. On the other hand, "computational simulation" purely considers the mechanical strength of the therapeutic device and simulates the deformation and motion of the device by a finite element method.

However, none of these are suitable for the clinical setting environment. Morphological simulation has the drawback that it cannot take into account the differences between many devices, and computational simulation has the problem that the calculation time increases and it is not possible to output simulation results at the level required by the field in a timely manner. is there. Neither methodology is satisfied in consideration of the suitability of endovascular treatment or the time constraint when selecting the type in the medical field.

An object of the endovascular treatment navigation device according to the present application is to provide a simulation that combines the merits of both morphological and computational elements.

Based on the above background, the inventors believe that it is necessary to develop simulation technology within the accuracy and time required by clinical sites for endovascular treatment devices that are continuously introduced to clinical sites. It came to. Further, the present invention is based on the idea that the material and hardness of the endovascular treatment device should not be defined purely mechanically, but should be sufficient to simulate the properties of the device. The hybrid simulation proposed here realizes a calculation speed suitable for the clinical environment while considering the difference in properties between devices. Therefore, the inventors have found a method of revising the existing concept of simulation and clarifying the validity of the simulation result by various comparative examination methods.

In order to solve the above problems, according to the first main aspect of the present invention, a computer has a storage unit that stores parameters for mechanical properties in a plurality of therapeutic devices that can be used for endovascular treatment, and a computer. However, the input unit for inputting the blood flow shape, the treatment device selection unit in which the computer selects one treatment device from the treatment devices stored in the storage unit based on the user's input, and the computer input the user. The application site designation unit that specifies the site in the blood flow shape to which the treatment device is applied based on the above, and the computer reads out the parameter for one treatment device based on the selection in the treatment device selection unit, and the computer reads out the parameter. An indwelling simulation unit that obtains blood flow information when the therapeutic device is used at the site to be applied, a first blood flow characteristic based on the blood flow shape, and an output from the blood flow shape and indwelling simulation unit by a computer. Provided is an endovascular treatment simulation apparatus including a blood flow calculation unit that calculates and outputs a second blood flow information based on the above in comparison with each other.

According to one embodiment of the present invention, the treatment method selection unit further includes a treatment method selection unit, and the storage unit stores a plurality of treatment methods that can be used for endovascular treatment. An endovascular treatment simulation apparatus is provided, characterized in that one treatment method can be selected from the input based on the input of the above.

According to another embodiment, there is provided an endovascular treatment simulation apparatus characterized in that the parameters are natural shape, line element density, line element shape, bending resistance, and / or twisting resistance.

In addition, the user may be configured to be able to select from the product name of the treatment device or the parameters.

According to still another embodiment, the user specifies the application site by the indwelling line defined by designating the starting point at which the therapeutic device begins to be indwelled and the direction in which the indwelling is performed. It may be configured as an internal treatment simulation device. Further, the detention line may be modified by the user by changing the position of the center line with respect to the detention line on the drawing.

Further, the parameters can be configured as an endovascular treatment simulation apparatus characterized by including characteristics based on experiments using a preclinical non-clinical model.

Further, the endovascular treatment simulation device may be configured so that changes in blood flow before and after the treatment can be output in a comparable manner as visible data.

Further, changes in blood flow before and after treatment may be configured to be visually comparable. In that case, the visible data may be polygon data.

Further, a display unit for comparing and displaying the first blood flow information and the second blood flow information may be provided.

With this configuration, it is possible to perform simulations of endovascular treatment devices that are being introduced to clinical sites one after another within the accuracy and time required by clinical sites, and what kind of treatment is given to patients. You will be able to receive appropriate treatment guidance as to whether you should use the device.

Further, according to the second main aspect of the present invention, a storage process in which the computer stores parameters for mechanical properties in a plurality of therapeutic devices that can be used for endovascular treatment, and the computer inputs the blood vessel shape. Input process to be performed, a treatment device selection step in which the computer selects one treatment device from the treatment devices stored in the storage process, and a computer specifies a site in the blood vessel shape to which the treatment device is applied. The application site designation step and the computer reads out the parameters for one treatment device based on the selection in the treatment device selection step, and obtains blood flow information when the treatment device is used for the application site. The desired indwelling simulation step and the computer can calculate and compare the first blood vessel shape based on the blood vessel shape and the second blood flow information based on the blood vessel shape and the output from the indwelling simulation unit, respectively. Provided is an endovascular treatment simulation method characterized by comprising a blood flow calculation step for outputting to.

Further, according to a third main aspect of the present invention, in a computer software program for computer simulation of intravascular treatment, the following steps: a plurality of treatments that the computer can use for intravascular treatment. A storage process for storing parameters for mechanical characteristics of the device, an input process for the computer to input the blood vessel shape, and a treatment for the computer to select one treatment device from the treatment devices stored in the storage process. The device selection step, the application site designation step in which the computer specifies a site in the blood vessel shape to which the treatment device is applied, and the computer regarding one treatment device based on the selection in the treatment device selection step. An indwelling simulation step of reading out parameters and obtaining blood flow information when the therapeutic device is used at the application site, a first blood flow characteristic based on the blood vessel shape, and the blood vessel shape and indwelling by a computer. A computer software program is provided that includes an instruction to execute a second blood flow information based on an output from a simulation unit and a blood flow calculation step that calculates and outputs the second blood flow information in a comparable manner.

It will be clarified by the disclosure of the invention described below that various other problems can be solved.

It is a block diagram of the endovascular treatment simulation apparatus which concerns on this embodiment. Similarly, it is a figure which shows each function controlled by the control part in this simulation apparatus. Similarly, it is a figure for demonstrating the flow of function in this simulation apparatus. Similarly, it is a figure for demonstrating the process of acquiring a blood vessel shape from an image in this simulation apparatus. Similarly, it is a figure for demonstrating the treatment method selection part in this simulation apparatus. Similarly, it is a figure for demonstrating the function of the treatment apparatus selection part in this simulation apparatus. Similarly, it is a figure for demonstrating another function of the treatment apparatus selection part in this simulation apparatus. Similarly, it is a figure explaining the template used by the treatment device selection part in this simulation apparatus. Similarly, it is the figure which showed typically the example of the natural shape data which the template used in the treatment apparatus selection part in this simulation apparatus has. Similarly, it is a figure which shows the Flow diverter based on the parameter specified by the treatment device selection part in this simulation apparatus. It is a figure for demonstrating bending resistance. It is a figure which compares and shows the simulation result about two kinds of Flow diverters with different bending resistance in the case of cerebral aneurysm. It is a figure which shows the method of designating a part by the application part designation part in this simulation apparatus. It is a figure which shows the indwelling simulation in this embodiment. It is a figure which shows an example of the result of performing the treatment simulation for the blood vessel which has an aneurysm. It is a figure which shows the flow of the blood flow simulation.

Hereinafter, an embodiment of the present invention will be specifically described with reference to the drawings.

FIG. 1 shows a configuration diagram of an endovascular treatment simulation device 100 according to an embodiment of the present invention. The endovascular treatment simulation device 100 includes a control unit 1, an operation unit 2, a storage unit 3, a display unit 4, an input / output (interface) unit 5, and the like. The control unit 1 has a CPU and a memory (neither of them is shown), and functions as each unit as shown in FIG. 2 by appropriately expanding the computer software recorded in the storage unit 3 on the memory. .. That is, it functions as an input processing unit 11, a treatment method selection unit 12, a treatment device selection unit 13, an application site designation unit 14, an indwelling simulation unit 15, a blood flow calculation unit 16, and an output unit 17. In the storage unit 3, blood physical characteristics, boundary conditions, and other calculation conditions, which are data necessary for calculation processing and the like, may be recorded before the start of simulation. These conditions can be used for computational fluid dynamics (CFD) described later. Needless to say, the operation unit 2 and the display unit 4 function not only as various output results by the output unit 17 but also as an interface with a user used for various purposes in the present embodiment. As the operation unit 2, a touch pen such as a stylus can be used in addition to a keyboard and a mouse, and various displays can be used as the display unit 4. As the name implies, the input / output (interface) unit 5 is an interface for inputting / outputting various data including images and templates described later, and the input / output is performed with another device, medium (storage medium), or the like. It is done by wired or wireless means of communication via a LAN line or other communication line. The functions of each part shown in FIG. 2 will be described below together with the processes in charge of each.

FIG. 3 is a system configuration diagram based on the present embodiment and shows the flow of processing from input to output. In this embodiment, the system flow consists of two systems. The first system is a system that calculates blood flow based on the input blood vessel shape (left side in Fig. 3), and the second is a system that calculates blood flow after performing a treatment simulation on the input blood vessel shape. (Right side in FIG. 3), and has a configuration in which the difference between the two can be compared and displayed as an output.

Here, the latter route (on the right side in FIG. 3) will be mainly described, and the subject will be described by taking coil embolization for a cerebral aneurysm as an example. The endovascular treatment navigation device inputs a medical image related to the shape of the blood vessel before treatment via the input / output (interface) unit 5. Data on the blood vessel shape can be obtained from the medical image by the process shown in FIG. Since this process is general, it will not be described in detail here, but the medical images used for the blood vessel shape include MRA (magnetic resonance angiography), CTA (computer tomography angiography), DSA (digital differential angiography), etc. It is a group of tomographic images obtained by an imaging device. The shape of the blood vessel of the acquired image is measured through region division, region setting, shape construction, and blood vessel division. The blood vessel shape thus obtained is processed by the treatment method selection unit 12. Note that this blood vessel shape may be a model based on a surface mesh made of polygons.

In the first step (1) of the apparatus, the user selects a treatment method through the user interface of the treatment method selection unit 12 as illustrated in FIG. Here, the treatment method includes (1) stent, (2) coil, (3) Flow diverter and the like. The treatment method can be selected according to the target blood vessel such as cerebral artery (Cerebral), carotid artery (Carotid), coronary artery (Coronary), and aorta (Aorta). FIG. 5 shows an example of selecting coil embolization in the cerebral artery (Cerebral).

In the next step (2), the user selects the characteristics or type of the treatment device (treatment device) via the user interface of the treatment device selection unit 13 as illustrated in FIG. The selection of the treatment device is performed based on the treatment method selected in the step (1). This treatment device selection can be selected from two types of methods. One is (2a) a method in which the user specifies the form and strength of the treatment device, and the other is (2b) the form and strength are modularized and stored for each treatment device and stored as parameters inside the computer. It is a method of automatically setting (automatic input) by reading. The former is called "individual input" and the latter is called "automatic input". An example of the parameter of the individual input when the coil or the Flow diver is selected in the step (1) is as follows.
(1) Diameter, (2) Length, (3) Natural shape, (4) Line element density, (5) Line element shape, (6) Bending resistance, (7) Twist resistance Individually specified input of (2a) above In the case of, the parameters of each item are specified by the user by pull-down index selection, for example, as shown in FIG. Each index (for example, D3, D4, D5 in the case of diameter) of the above items (1) to (7) can be obtained by comparing and examining the result of "phantom experiment (non-clinical model experiment)" and the result of simulation experiment. It is associated with the standard value. The reference value is stored as a template in the recording unit 3. The above-mentioned "phantom experiment" is a quantification of the shape of the treatment device by virtually performing the treatment by placing the treatment device in the blood vessel model made of silicone rubber. In addition, by conducting simulation experiments using a computer, various reference values are determined so as to match the results of the phantom experiment.

On the other hand, in the case of (2b) automatic input, a table map in the computer can be selected by selecting the combination of the manufacturer name and the specific treatment device (eg, AA Co., Ltd, Type A) that appears in the pull-down menu. The parameters are applied automatically by referring to. An example is shown in FIG. For example, the coil used for coil embolization is subdivided according to the purpose of embolization, and it is also possible to configure the coil to be selected as an option such as "Framing Coil" or "Finishing Coil".

Here, the template referred to by the treatment device selection unit 13 of the present embodiment will be described. When the "display name" is selected via the user interface, the treatment device selection unit 13 can acquire each parameter (information such as various characteristics and specifications based on the display name) associated with the "display name". As a result, the "diameter", "length", "natural shape", "line element density", "line element shape", etc. are determined with reference to the template (table) shown in FIG. 8, and the shape of the treatment device is determined. can do.

The shape in the case of the Flow diverter will be specifically described below. FIG. 9 schematically shows an example of natural shape data included in the template. In this example, "Type 1" has a diamond-like mesh composed of the Flow diverter, "Type 2" has a hexagonal shape, and "Type 3" has a diamond. It represents a chained shape.

FIG. 10 shows an example of equipment specifications and the like in which each parameter is specifically specified. When the display name "D3" is selected, the length L is "15 mm" and has a natural shape of "Type 1", the line element density is "Low", that is, the line element shape is "Circular". 1 ”is read from the template (see FIG. 8), and the simulation is performed assuming that the Flow diverter based on the specifications and the like is selected.

FIG. 11 is a diagram illustrating bending resistance. At this stage, the strength has not yet been considered, and the strength is considered by the indwelling simulation unit 15. The strength at that time is given by constraining the shape of the device center line. Bending resistance and torsional resistance are given as indicators when restraining. It is defined by the bending angle (θb) and the twisting angle (θt) at each point on the device center line, respectively.

As described above, the treatment device selection unit 13 can select a treatment device having characteristics based on the user's designation by referring to the mechanical characteristic template based on the user's designation.

Next, a method of creating the above-mentioned mechanical characteristic model template based on the above-mentioned phantom experiment (non-clinical model experiment) will be described. It is not realistic to express the mechanical properties of therapeutic devices in a pure mechanical engineering manner. "Pure mechanical engineering" here is a mechanical property as a material such as Young's modulus and Poisson's ratio. The reason why it cannot be expressed in pure mechanical engineering is that in most cases, the material itself used for such a therapeutic device is a composite material having a fine structure or has been subjected to a thermoplastic treatment. Therefore, the present invention is based on a practical idea that the mechanical characteristics should not be microscopically expressed as in the conventional case, but the characteristics as a whole should be reproduced macroscopically.

Comparing and evaluating multiple therapeutic devices in vivo in the same patient is invasive and unacceptable. Therefore, we created a blood vessel model using silicone rubber, and clarified the mechanical properties of the therapeutic device in advance by phantom experiments (non-clinical experiments). The characteristics thus obtained are stored in the storage unit 3 (see FIG. 1) as a "characteristic template". FIG. 12 shows a comparison of simulation results for two types of Flow diverters having different bending resistances in the case of a cerebral aneurysm. “Simulation A” shown in FIG. 12 (b) is consistent with the phantom experiment, but “Simulation B” shown in FIG. 12 (c) (bending resistance is more flexible than that used in simulation A). (Example) using the above shows that the adhesion characteristics between the treatment device for the flexion of the blood vessel and the wall of the blood vessel are different. Based on the concept of reproducing device characteristics in such a way, the mechanical characteristic template according to this embodiment is used.

In the subsequent step (3), the user specifies a site to which the treatment simulation is applied via the user interface of the application site designation unit 14. 13 (a) and 13 (b) show a method of designating a site in the application site designating section 14. The portion can be designated by the "start point" and the "direction" on the display unit 4. Here, the "starting point" is the starting point at which the treatment device begins to be placed (indicated as a black circle in each figure of FIG. 13). The "direction" is the direction in which the treatment device is indwelled (indicated by arrows in each figure of FIG. 13). With these, it is possible to set which area in the blood vessel the stent should be placed. It should be noted that the determination of the starting point and the direction may be performed after drawing in three dimensions, or may be performed in two dimensions on which a three-dimensional shape is projected.

In the step (4), the indwelling simulation unit 15 performs a simulation of indwelling the therapeutic device in the blood vessel based on the information obtained in each of the above steps (1) to (3).

As described above as a background technique, there are generally "morphological method" and "computational method" as a calculation method used when a therapeutic device is placed in a blood vessel. In the former, only the form of the treatment device is input and the mechanical characteristics are not considered, so the calculation speed is high, but the accuracy is difficult. The latter considers the mechanical characteristics and has an advantage in calculation accuracy but a drawback in calculation speed. As already mentioned, neither methodology is satisfied in consideration of the time constraints when selecting the appropriateness or type of endovascular treatment in the medical field.

FIG. 14 shows an indwelling simulation in this embodiment. The details of this indwelling simulation can be displayed on the display unit 4. For example, in the case of the Flow diverter, the indwelling simulation unit 15 first determines the indwelling line based on the blood vessel center line and the starting point and direction specified in the step (3) (FIG. 14 (a)). Here, the user may be able to modify the detention line by changing the center line displayed on the screen of the display unit 4 (FIG. 14 (b)) (FIG. 14 (c)).

Next, the indwelling simulation unit 15 starts indwelling the therapeutic device selected by referring to the template based on the designation in the step (2). This indwelling simulation is achieved by mapping the therapeutic device to the indwelling surface while gradually enlarging a plurality of indwelling surfaces arranged perpendicular to the indwelling line on the displayed drawing. More specifically, immediately after placement, the therapeutic device does not come into contact with the blood vessel wall and can expand freely. As it expands, the device comes into contact with the vessel wall, shifting to expansion in a constrained environment. In constraint expansion, the deformation is constrained by bending and twisting the centerline of the device.

FIG. 15 shows an example of the result of performing a treatment simulation on a blood vessel having an aneurysm. FIG. 15 (a) shows the treatment simulation results when the flow diverter was indwelled, and FIGS. 15 (b) and 15 (c) showed the treatment simulation results when the embolic coil was indwelled. After that, the indwelling simulation unit 15 passes the treatment result as polygon data to the subsequent step (5). The calculation time here can be about 5 minutes at the maximum.

In step (5), the blood flow calculation unit 16 performs a blood flow simulation for the shape before and after the treatment using computational fluid dynamics (CFD) in order to determine the therapeutic effect.

The flow of the blood flow simulation is as shown in FIG. 16, and the already generalized method is adopted. The calculation time of the treatment simulation varies depending on the density of the mesh around the wire material. For example, if the calculation accuracy is pursued unnecessarily, the time constraint condition cannot be satisfied. In this embodiment, the calculation is performed by steady flow analysis. Unsteady analysis such as pulsatile flow can also be calculated using a large parallel computer outside the hospital. The main point of the calculation of this method is to calculate the blood flow by the direct numerical calculation method. That is, the blood flow calculation unit strictly analyzes the flow field by creating a boundary mesh in the vicinity of the line material. As a known method, various calculation simplification methods can be adopted in order to increase the calculation speed. However, the simplification of the calculation itself leads to the inability to reveal the differences between treatment devices. In the present invention, calculations are made so that a flow field as close to reality as possible in practice can be solved. From the analysis start stage, it is used together with the function to display the planned calculation time based on the number of meshes. The treatment effect verification result is output based on the blood flow information before and after the treatment. The parameters to be referred to in the therapeutic effect verification differ depending on the target disease and the treatment method. For example, in the case of coil embolization, promotion of thrombus formation by reducing the intraanecal velocity is an issue. Therefore, the blood flow calculation unit scores parameters such as the inflow velocity in the aneurysm and the inflow flow rate in the aneurysm by weighting them. Finally, the blood flow information before and after the treatment and the treatment effect verification result are displayed on the user interface.

In this way, according to the present invention, a calculation that responds to time constraints in clinical practice while having an accuracy that can distinguish a difference in device performance based on a feature amount as a parameter representing mechanical strength. It is possible to provide treatment simulations at speed. Further, from the above, it is obvious that the present invention has industrial applicability.

Claims (13)

A computer is a storage unit that stores templates for a plurality of therapeutic devices that can be used for endovascular treatment, and the template is used for one or more treatment methods that can be used for the endovascular treatment and each treatment method. The storage unit, which has the identification name and the parameter related to the mechanical property of each of the corresponding one or more therapeutic devices, and the mechanical property includes the shape information and the intensity information.
The computer inputs the blood vessel shape, and
A treatment device selection unit in which a computer selects one treatment device from the treatment devices stored in the storage unit based on a user's input.
An application site designation unit that specifies a site in the blood vessel shape to which the treatment device is applied based on a user's input.
The computer reads the parameter for one treatment device selected by the treatment device selection unit with reference to the template, and based on the read parameter, the one is applied to the application site of the blood vessel shape. Indwelling simulation unit that maps the treatment equipment of
The computer calculates and outputs the first blood flow information based on the blood vessel shape input by the input unit and the second blood flow information based on the output from the indwelling simulation unit in a comparable manner. Equipped with a blood flow calculation unit
The indwelling simulation unit determines an indwelling line with respect to the blood vessel shape, and gradually expands a plurality of indwelling surfaces arranged perpendicular to the indwelling line to provide the same treatment device to the indwelling surface. It is a mapping, and when the one therapeutic device comes into contact with the blood vessel wall due to enlargement, the shape change of the one therapeutic device is constrained based on the strength information included in the mechanical properties.
An endovascular treatment simulation device characterized by this. The apparatus according to claim 1 further includes a treatment method selection unit.
The storage unit stores a plurality of treatment methods that can be used for endovascular treatment, so that the treatment method selection unit can select one of the treatment methods based on the user's input. Endovascular treatment simulation device. The device according to claim 1, wherein the parameters are a natural shape, a line element density, a line element shape, a bending resistance, and / or a twisting resistance. The device according to claim 3, wherein in the treatment device selection unit, a user can specify and select a product name of the treatment device or the parameter. The device according to claim 1, wherein the application site designation unit allows the user to specify a site to which the treatment device is applied. In the apparatus according to claim 5, the user specifies the site to be applied by the indwelling line defined by designating the starting point at which the therapeutic device is to be indwelled and the direction in which the indwelling is to be performed. Internal treatment simulation device. The device according to claim 6, wherein the indwelling line can be modified by the user by changing the position of the center line with respect to the indwelling line on the figure displayed on the screen. .. The device according to claim 1, wherein the parameters include characteristics based on an experiment using a non-clinical model performed in advance. An endovascular treatment simulation apparatus according to claim 1, wherein changes in blood flow before and after treatment are configured to be comparablely output as visible data. The device according to claim 9, wherein the visible data is polygon data. The apparatus according to claim 1, before Symbol endovascular simulation apparatus characterized by further comprising a display unit for comparing display the first blood flow information second blood flow information. A storage step in which a computer stores templates for a plurality of therapeutic devices that can be used for endovascular treatment, wherein the template includes one or more treatment methods that can be used for the endovascular treatment and each treatment method. The storage process, which has the identification name and the parameters related to the mechanical properties of each of the corresponding one or more therapeutic devices, and the mechanical properties include shape information and intensity information.
The input process in which the computer inputs the blood vessel shape,
A treatment device selection step in which the computer selects one treatment device from the treatment devices stored in the storage process based on the user's input.
An application site designation step in which a computer specifies a site in the blood vessel shape to which the therapeutic device is applied based on user input.
The computer reads the parameter for the one therapeutic device selected in the treatment device selection step with reference to the template, and based on the read parameter, the one is applied to the application site of the blood vessel shape. Indwelling simulation process that maps the treatment equipment of
The computer calculates and outputs the first blood flow information based on the blood vessel shape input in the input step and the second blood flow information based on the output of the indwelling simulation step in a comparable manner. Equipped with a flow calculation process,
In the indwelling simulation step, an indwelling line is determined for the blood vessel shape, and a plurality of indwelling surfaces arranged perpendicular to the indwelling line are gradually expanded to provide the same treatment device to the indwelling surface. It is a mapping, and when the one therapeutic device comes into contact with the blood vessel wall due to enlargement, the shape change of the one therapeutic device is constrained based on the strength information included in the mechanical properties.
An endovascular treatment simulation method characterized by this. In a computer software program for computer simulation of endovascular treatment, the following steps:
A storage step in which a computer stores templates for a plurality of therapeutic devices that can be used for endovascular treatment, wherein the template includes one or more treatment methods that can be used for the endovascular treatment and each treatment method. those having a parameter related to the corresponding one or more therapeutic devices each identification name and mechanical properties, the mechanical properties are those containing shape information and strength information, and the SL憶step,
The input process in which the computer inputs the blood vessel shape,
A treatment device selection step in which the computer selects one treatment device from the treatment devices stored in the storage process based on the user's input.
An application site designation step in which a computer specifies a site in the blood vessel shape to which the therapeutic device is applied based on user input.
The computer reads the parameter for the one therapeutic device selected in the treatment device selection step with reference to the template, and based on the read parameter, the one is applied to the application site of the blood vessel shape. Indwelling simulation process that maps the treatment equipment of
The computer calculates and outputs the first blood flow information based on the blood vessel shape input in the input step and the second blood flow information based on the output of the indwelling simulation step in a comparable manner. Includes instructions to execute the blood flow calculation process
In the indwelling simulation step , an indwelling line is determined for the blood vessel shape, and a plurality of indwelling surfaces arranged perpendicular to the indwelling line are gradually expanded to provide the same treatment device to the indwelling surface. It is a mapping, and when the one therapeutic device comes into contact with the blood vessel wall due to enlargement, the shape change of the one therapeutic device is constrained based on the strength information included in the mechanical properties.
A computer software program that features that.

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