Device specific finite element models for simulating endovascular treatment

Patent metadata

Field	Value
Publication number	US-10290230-B2
Application number	US-201514605887-A
Country	US
Kind code	B2
Filing date	Jan 26, 2015
Priority date	Jan 27, 2014
Publication date	May 14, 2019
Grant date	May 14, 2019

Abstract

Systems and methods provide a novel computational approach to planning the endovascular treatment of cardiovascular diseases. In particular, the invention simulates medical device deployment and hemodynamic outcomes using a virtual patient-specific anatomical model of the area to be treated, high-fidelity finite element medical device models and computational fluid dynamics (CFD). In an embodiment, the described approach investigates the effects of coil packing density, coil shape, aneurysmal neck size and parent vessel flow rate on aneurysmal hemodynamics. A processor may receive patient clinical data used to construct the relevant anatomical structure model. The processor may access medical device models constructed using finite element analysis and three dimensional beam analysis, and simulates the deployment of selected medical devices in the anatomical structure model. The selected medical device models and the anatomical structure model mesh, allowing the processor to simulate hemodynamic outcomes using computational fluid dynamics.

First claim

What is claimed is:

1. A system for simulating medical device dynamics, the system comprising:
a database disposed in a server and configured to store medical device models of different sized embolic coils, each model being represented by a plurality of serially linked beam elements with a virtual diameter that is equal to a filament diameter of the embolic coil;
a user interface configured to receive clinical data of a patient, wherein the user interface is configured to allow a user to select a plurality of the medical device models from the database; and
one or more processors configured to:
virtually construct each of the medical device models in air by modeling a 3D curve with multiple helical loops around a sphere at different angles;
virtually construct each of the medical device models by stretching ends of each of the medical device models until the medical device model fits within a virtual microcatheter;
virtually construct an anatomical structure model of the patient;
simulate a deployment of the plurality of the medical device models in the anatomical structure model, wherein simulating deployment comprises:
modeling advancing of each medical device model along a centerline of a vessel of the anatomical structure model by applying displacement boundary conditions to nodes at a distal tip of the virtual microcatheter to guide the virtual microcatheter along the centerline of the vessel to a treatment region of the anatomical structure model, and
generating at least one surface mesh and at least one blood volume mesh by (1) sweeping the beam elements of each medical device model with a circular surface of a first diameter to produce swept embolic coil surfaces, (2) shrink-wrapping the swept embolic coil surfaces to remove overlapping and intersecting elements, and (3) applying an Octree mesh filing technique to the at least one blood volume;

simulate hemodynamic outcomes after simulating the deployment of the plurality of the medical device models in the anatomical structure model;
generate a report comprising one or more of hemodynamic outcome data and medical device model performance data; and
select a medical device for use in an endovascular medical device placement procedure based at least in part on one or more of the hemodynamic outcome data and the medical device model performance data.

2. The system of claim 1 , wherein the stored medical device models are constructed using finite element modeling and three dimensional beam theory.

3. The system of claim 1 , wherein simulating hemodynamic outcomes comprises applying computational fluid dynamics.

4. The system of claim 1 , wherein the one or more processors are arranged in a computer cluster.

5. The system of claim 1 , wherein the anatomical structure model comprises one or more blood vessels.

6. The system of claim 5 , wherein the anatomical structure model comprises at least one flow rate within one or more of the blood vessels.

7. The system of claim 1 , wherein the embolic coil is a complex coil or a helical coil.

8. The system of claim 1 , wherein the anatomical structure model comprises a computational model.

9. The system of claim 1 , wherein the medical device models comprise one or both of a surface mesh and a CAD geometry.

10. The system of claim 1 , wherein simulating the deployment comprises modeling contacts between each medical device model and the anatomical structure model with a penalty contact enforcement algorithm.

11. A method for simulating medical device dynamics, the method comprising:
storing in a server a computer readable database comprising medical device models of different sized embolic coils, each model being represented by a plurality of serially linked beam elements with a virtual diameter that is equal to a filament diameter of the embolic coil;
receiving clinical data of a patient;
selecting a plurality of the medical device models from the database;
virtually constructing, by the one or more processors, each of the medical device models in air by modeling a 3D curve with multiple helical loops around a sphere at different angles;
virtually constructing, by the one or more processors, each of the medical device models by stretching ends of each of the medical device models until the medical device model fits within a virtual microcatheter;
virtually constructing, by the one or more processors, an anatomical structure model based on the patient clinical data;
simulating a deployment of the plurality of the medical device models in the anatomical structure model, wherein simulating deployment comprises:
modeling advancing of each crimped medical device model along a centerline of a vessel of the anatomical structure model by applying displacement boundary conditions to nodes at a distal tip of the virtual microcatheter to guide the virtual microcatheter along the centerline of the vessel to a treatment region of the anatomical structure model, and
generating at least one surface mesh and at least one blood volume mesh by (1) sweeping the beam elements of each medical device model with a circular surface of a first diameter to produce swept embolic coil surfaces, (2) shrink-wrapping the swept embolic coil surfaces to remove overlapping and intersecting elements, and (3) applying an Octree mesh filing technique to the at least one blood volume;

simulating hemodynamic outcomes after simulating the deployment of the plurality of the medical device models in the anatomical structure model;
generating a report comprising one or more of hemodynamic outcome data and medical device model performance data; and
selecting a medical device for use in an endovascular medical device placement procedure based at least in part on one or more of the hemodynamic outcome data and the medical device model performance data.

12. The method of claim 11 , wherein the stored medical device models are constructed using finite element modeling and three dimensional beam theory.

13. The method of claim 11 , wherein simulating hemodynamic outcomes comprises applying computational fluid dynamics.

14. The method of claim 11 , wherein the one or more processors are arranged in a computer cluster.

15. The method of claim 11 , wherein the anatomical structure model comprises one or more blood vessels.

16. The method of claim 15 , wherein the anatomical structure model comprises at least one flow rate within one or more of the blood vessels.

17. The method of claim 11 , wherein the embolic coil is a complex coil or a helical coil.

18. The method of claim 11 , wherein the anatomical structure model comprises a computational model.

19. The method of claim 11 , wherein the medical device models comprise one or both of a surface mesh and a CAD geometry.

20. The method of claim 11 , wherein simulating the deployment comprises modeling contacts between each medical device model and the anatomical structure model with a penalty contact enforcement algorithm.

Assignees

• Univ Arizona State
• Mayo Found Medical Education & Res
• Mayo Foundation For Medical Education & Res

Inventors

• Babiker Mohamed Haithem
• Frakes David H
• Chong Brian W

Classifications

• G09B5/02

  with visual presentation of the material to be studied, e.g. using film strip · CPC title

• G09B23/28 Primary

  for medicine · CPC title