Method and system for image processing to determine blood flow

Patent metadata

Field	Value
Publication number	US-11564746-B2
Application number	US-202117510842-A
Country	US
Kind code	B2
Filing date	Oct 26, 2021
Priority date	Mar 1, 2013
Publication date	Jan 31, 2023
Grant date	Jan 31, 2023

Abstract

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

First claim

What is claimed is:

1. A system for evaluating cardiovascular treatment options for a patient, the system comprising:
at least one memory having processor-readable instructions stored therein; and
at least one processor configured to access the memory and execute the processor-readable instructions, which when executed by the processor configures the processor to perform a plurality of operations, the operations comprising:
receiving patient-specific data regarding a geometry of a patient's heart or vasculature;
receiving a three-dimensional mesh model representing at least a portion of the patient's heart or vasculature based on the patient-specific data regarding the geometry of the patient's heart or vasculature;
generating a computational model based on the received three-dimensional mesh model for each treatment option of a plurality of treatment options;
generating an objective function of one or more blood flow characteristics for each treatment option of a plurality of treatment options based on the computational model, wherein the objective function determines a maximized flow or a minimized pressure change; and
solving the objective function to determine a treatment option of the plurality of treatment options.

2. The system according to claim 1 , the operations further comprising:
causing a display to display the treatment option of the plurality of treatment options.

3. The system according to claim 1 , wherein the treatment option of the plurality of treatment options comprises one or more of: a stent selection, a stent location, a bypass graft selection, or a bypass graft location.

4. The system according to claim 1 , the operations further comprising:
receiving a library of data associated with the plurality of treatment options; and
generating the objective function of one or more blood flow characteristics for each treatment option of the plurality of treatment options based on the received library of data.

5. The system according to claim 4 , wherein the library of data includes one or more of: monetary cost information, patient information, or treatment information.

6. The system according to claim 1 , the operations further comprising:
determining a locally optimum treatment option of the plurality of treatment options;
modifying the three-dimensional mesh model with the locally optimum treatment option of the plurality of treatment options; and
generating an updated computational model based on the modified three-dimensional mesh model.

7. The system according to claim 6 , wherein the locally optimum treatment option of the plurality of treatment options is at least one of: an optimal FFR value, an optimal pressure value, or an optimal flow value.

8. A method for evaluating cardiovascular treatment options for a patient comprising:
receiving patient-specific data regarding a geometry of a patient's heart or vasculature;
receiving a three-dimensional mesh model representing at least a portion of the patient's heart or vasculature based on the patient-specific data regarding the geometry of the patient's heart or vasculature;
generating a computational model based on the received three-dimensional mesh model for each treatment option of a plurality of treatment options;
generating an objective function of one or more blood flow characteristics for each treatment option of a plurality of treatment options based on the computational model, wherein the objective function determines a maximized flow or a minimized pressure change; and
solving the objective function to determine a treatment option of the plurality of treatment options.

9. The method according to claim 8 , further comprising:
causing a display to display the treatment option of the plurality of treatment options.

10. The method according to claim 8 , wherein the treatment option of the plurality of treatment options comprises one or more of: a stent selection, a stent location, a bypass graft selection, or a bypass graft location.

11. The method according to claim 8 , further comprising:
receiving a library of data associated with the plurality of treatment options; and
generating the objective function of one or more blood flow characteristics for each treatment option of the plurality of treatment options based on the received library of data.

12. The method according to claim 11 , wherein the library of data includes one or more of: monetary cost information, patient information, or treatment information.

13. The method according to claim 8 , further comprising:
determining a locally optimum treatment option of the plurality of treatment options;
modifying the three-dimensional mesh model with the locally optimum treatment option of the plurality of treatment options; and
generating an updated computational model based on the modified three-dimensional mesh model.

14. The method according to claim 13 , wherein the locally optimum treatment option of the plurality of treatment options is at least one of: an optimal FFR value, an optimal pressure value, or an optimal flow value.

15. A non-transitory computer readable medium storing computer program instructions for planning treatment for evaluating cardiovascular treatment options for a patient, the computer program instructions when executed by a processor causes the processor to perform operations comprising:
receiving patient-specific data regarding a geometry of a patient's heart or vasculature;
receiving a three-dimensional mesh model representing at least a portion of the patient's heart or vasculature based on the patient-specific data regarding the geometry of the patient's heart or vasculature;
generating a computational model based on the received three-dimensional mesh model for each treatment option of a plurality of treatment options;
generating an objective function of one or more blood flow characteristics for each treatment option of a plurality of treatment options based on the computational model, wherein the objective function determines a maximized flow or a minimized pressure change; and
solving the objective function to determine a treatment option of the plurality of treatment options.

16. The non-transitory computer readable medium of claim 15 , the operations further comprising:
causing a display to display the treatment option of the plurality of treatment options.

17. The non-transitory computer readable medium of claim 15 , wherein the treatment option of the plurality of treatment options comprises one or more of: a stent selection, a stent location, a bypass graft selection, or a bypass graft location.

18. The non-transitory computer readable medium of claim 15 , the operations further comprising:
receiving a library of data associated with the plurality of treatment options; and
generating the objective function of one or more blood flow characteristics for each treatment option of the plurality of treatment options based on the received library of data.

19. The non-transitory computer readable medium of claim 18 , wherein the library of data includes one or more of: monetary cost information, patient information, or treatment information.

20. The non-transitory computer readable medium of claim 15 , the operations further comprising:
determining a locally optimum treatment option of the plurality of treatment options;
modifying the three-dimensional mesh model with the locally optimum treatment option of the plurality of treatment options; and
generating an updated computational model based on the modifi

Assignees

• Heartflow Inc

Inventors

• Spilker Ryan
• Eberle David
• Grady Leo

Classifications

• G06T7/11

  Region-based segmentation · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06T2207/30096

  Tumor; Lesion · CPC title

• G16H20/40

  relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title