Method for tuning patient-specific cardiovascular simulations

• US 8,200,466 B2
• Filed: 07/21/2008
• Issued: 06/12/2012
• Est. Priority Date: 07/21/2008
• Status: Active Grant

• Current Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Spilker, Ryan Leonard, Taylor, Chales Anthony Jr.
• Primary Examiner(s): Silver, David
• Application Number:
  US12/219,398
• Publication Number:
  US 20100017171A1
• Time in Patent Office: 1,422 Days
• Field of Search: 703/2, 703/9, 703/11
• US Class Current: 703/11
• CPC Class Codes: G06F 2111/10 Numerical modelling
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06T 17/20 Finite element generation, e.g. wire-frame surface description, tesselation
• CPC Class Codes: G06T 19/20 Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
• CPC Class Codes: G06T 2210/24 Fluid dynamics
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Computational methods are used to create cardiovascular simulations having desired hemodynamic features. Cardiovascular modeling methods produce descriptions of blood flow and pressure in the heart and vascular networks. Numerical methods optimize and solve nonlinear equations to find parameter values that result in desired hemodynamic characteristics including related flow and pressure at various locations in the cardiovascular system, movements of soft tissues, and changes for different physiological states. The modeling methods employ simplified models to approximate the behavior of more complex models with the goal of to reducing computational expense. The user describes the desired features of the final cardiovascular simulation and provides minimal input, and the system automates the search for the final patient-specific cardiovascular model.

Claims

1. A system for determining cardiovascular information for a patient, the system comprising:

at least one computer system configured to;

receive patient-specific data regarding a geometry of an anatomical structure of the patient;

create, based on the patient-specific data, a three-dimensional model representing at least a portion of the aorta of the patient and at least a portion of a plurality of vessels emanating from the portion of the aorta, the three-dimensional model including portions representing at least one inlet and a plurality of outlets for blood flow;

create a three-dimensional mesh based on the three-dimensional model;

create at least one boundary condition model having less than three dimensions, the at least one boundary condition model representing blood flow through at least one of the at least one inlet or the plurality of outlets;

determine a blood flow characteristic within the anatomical structure of the patient by solving equations governing blood flow using the three-dimensional mesh and the at least one boundary condition model; and

automatically tune at least one parameter of the three-dimensional model or the at least one boundary condition model.

2. The system of claim 1, wherein the at least one boundary condition model includes at least one resistor configured to characterize flow through at least one of the plurality of outlets.

3. The system of claim 1, wherein the at least one boundary condition model includes at least one impedance model configured to characterize flow through at least one of the plurality of outlets.

4. The system of claim 1, wherein the anatomical structure includes at least a portion of the patient'"'"'s heart.

5. The system of claim 1, wherein the at least one boundary condition model includes an elastance-based model of a cardiac chamber.

6. The system of claim 1, wherein the at least one computer system is configured to determine the blood flow characteristic in at least the portion of the aorta of the patient and at least the portion of the plurality of vessels emanating from the portion of the aorta.

7. The system of claim 1, wherein a numerical method employed for modifying the at least one parameter includes at least one member of the group consisting of optimization, a solution of a system of nonlinear equations, and a solution of a nonlinear least-squares problem.

8. The system of claim 1, wherein the at least one computer system is further configured to determine the blood flow characteristic based on at least one blood pressure measured in the patient.

9. The system of claim 1, wherein the patient-specific data includes imaging data.

10. The system of claim 1, wherein the blood flow characteristic includes at least one of blood flow or pressure within the anatomical structure of the patient.

11. The system of claim 1, wherein the at least one parameter includes at least one of resistance, impedance, compliance, inductance, cardiac chamber elastance, morphometry of vascular networks, or material parameters of tissue.

12. The system of claim 1, wherein the at least one parameter is automatically tuned in order to bring a determined value of a property of the three-dimensional model or the at least one boundary condition model closer to a desired value.

13. The system of claim 12, wherein the property relates to at least one of a pressure waveform, a flow waveform, a time-varying velocity field, transport, cardiac volume, or tissue movement.

14. The system of claim 12, wherein the at least one computer system is further configured to automatically tune the at least one parameter until a difference between the determined value and the desired value is below a tolerance.

15. The system of claim 12, wherein the desired value is based on a measured parameter.

16. The system of claim 12, wherein the at least one parameter is automatically tuned until a property of the three-dimensional model or the at least one boundary condition model approximates the desired value.

17. The system of claim 1, wherein:

the at least one boundary condition model includes a plurality of boundary condition models representing blood flow through each of the at least one inlet and the plurality of outlets, respectively; and

each of the plurality of boundary condition models includes at least one parameter that is automatically tuned.

18. The system of claim 1, wherein the at least one computer system is further configured to change a resolution of the three-dimensional mesh when the at least one parameter is automatically tuned.

19. The system of claim 1, wherein the at least one computer system is further configured to change the at least one boundary condition model when the at least one parameter is automatically tuned.

20. The system of claim 1, wherein:

the three-dimensional model includes at least one rigid blood vessel wall; and

the at least one computer system is further configured to replace the at least one rigid blood vessel wall with a less rigid blood vessel wall when the at least one parameter is automatically tuned.

21. The system of claim 1, wherein the at least one computer system is configured to solve the equations using values determined from the three-dimensional mesh and the boundary condition model.

22. A method for determining patient-specific cardiovascular information using at least one computer system, the method comprising:

inputting into the at least one computer system patient-specific data regarding a geometry of an anatomical structure of the patient;

creating, using the at least one computer system and based on the patient-specific data, a three-dimensional model representing at least a portion of the aorta of the patient and at least a portion of a plurality of vessels emanating from the portion of the aorta, the three-dimensional model including portions representing at least one inlet and a plurality of outlets for blood flow;

creating a three-dimensional mesh based on the three-dimensional model;

creating at least one first model having less than three dimensions, the at least one first model representing blood flow through at least one of the at least one inlet or the plurality of outlets;

determining, using the at least one computer system, a blood flow characteristic within the anatomical structure of the patient by solving equations governing blood flow using the three-dimensional mesh and the at least one first model; and

creating at least one second model having less than three dimensions, the at least one second model representing at least a portion of the three-dimensional model of the patient and created based on the patient-specific data and on the determined blood flow characteristic.

23. The method of claim 22, wherein the second model includes at least one resistor configured to characterize flow in the second model.

24. The method of claim 22, wherein the second model includes at least one impedance model configured to characterize flow in the second model.

25. The method of claim 22, wherein the blood flow characteristic is determined at a plurality of locations within the anatomical structure of the patient.

26. The method of claim 22, wherein the blood flow characteristic is determined by using a finite element method on the mesh.

27. The method of claim 22, wherein:

the patient-specific data includes imaging data of the patient; and

the three-dimensional mesh represents at least the portion of the aorta of the patient and at least the portion of the plurality of vessels emanating from the portion of the aorta.

28. The method of claim 22, wherein the blood flow characteristic is determined based on a blood pressure measured in the patient.

29. A non-transitory computer readable medium for use on at least one computer system containing computer-executable programming instructions for performing a method for determining patient-specific cardiovascular information, the method comprising:

receiving patient-specific data regarding a geometry of an anatomical structure of the patient;

creating, based on the patient-specific data, a three-dimensional model representing at least a portion of the aorta of the patient and at least a portion of a plurality of vessels emanating from the portion of the aorta, the three-dimensional model including at least one inlet for blood flow and a plurality of outlets for blood flow;

creating a three-dimensional mesh based on the three-dimensional model;

creating at least one boundary condition model having less than three dimensions, the at least one boundary condition model representing blood flow through at least one of the at least one inlet or the plurality of outlets;

determining a blood flow characteristic within the anatomical structure of the patient by solving equations governing blood flow using the three-dimensional mesh and the at least one boundary condition model; and

automatically tuning at least one parameter of the three-dimensional model or the at least one boundary condition model.

30. The non-transitory computer readable medium of claim 29, wherein the at least one boundary condition model includes at least one resistor configured to characterize flow through at least one of the plurality of outlets.

31. The non-transitory computer readable medium of claim 29, the method further comprising:

determining a plurality of mean flow fractions corresponding to the plurality of outlets, wherein the blood flow characteristic is determined based on the plurality of mean flow fractions.