IP Library Granted Patent US 12,176,094
Granted Patent B2
US 12,176,094 · App. 16/426,877 · Granted Dec 24, 2024

Systems and methods for processing electronic images

Inventors: Charles A. Taylor (Atherton, CA); Hyun Jin Kim (San Mateo, CA); Jessica S. Coogan (Palo Alto, CA)
Assignee: THE BOARD OF TRUSTEES OF LELAND STANFORD JUNIOR UNIVERSITY
G16H30/20G16H10/60G16H30/00G16H30/40G16H50/50G06T19/00
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Quick Facts
Patent No.
US 12,176,094
App. No.
16/426,877
Granted
Dec 24, 2024
Kind
B2
Abstract

A noninvasive patient-specific method is provided to aid in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of a patient. Coronary blood flow and pressure can be predicted using a 3-D patient image-based model that is implicitly coupled with a model of at least a portion of the remaining cardiovascular system. The 3-D patient image-based model includes at least a portion of the thoracic aorta and epicardial coronaries of the patient. The shape of one or more velocity profiles at the interface of the models is enforced to control complex flow features of recirculating or retrograde flow thereby minimizing model instabilities and resulting in patient-specific predictions of coronary flow rate and pressure. The invention allows for patient-specific predictions of the effect of different or varying physiological states and hemodynamic benefits of coronary medical interventions, percutaneous coronary interventions and surgical therapies.

Claims (37)

1. A method for processing images of a patient, the method comprising:

receiving, using at least one computer system, patient-specific image data of at least a portion of at least one vessel of a patient;

determining, using the at least one computer system, a patient-specific geometric model of a geometry of a first vessel portion of a patient's vessel, the patient-specific geometric model being generated based on the received patient-specific image data;

determining, using the at least one computer system, fluid dynamics equations governing blood flow through the patient-specific geometric model of the geometry of the first vessel portion of the patient's vessel;

determining, using the at least one computer system, a lower-order patient- specific model of blood flow through a second vessel portion, the second vessel portion corresponding to a second vessel of the patient and/or a second portion of the patient's vessel, the lower-order patient-specific model having fewer dimensions than the patient-specific geometric model, the lower-order patient-specific model being associated with one or more fluid dynamics equations; and

determining, using the at least one computer system, a value of a characteristic of blood flow through the first vessel portion and/or the second vessel portion by implicit closed-loop coupling and solving both the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations of the lower-order patient-specific model of blood flow through the second vessel portion.

2. The method of claim 1 , wherein the patient-specific geometric model comprises a three-dimensional model.

3. The method of claim 1 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter model.

4. The method of claim 1 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter heart model, a lumped parameter systemic vascular model, a lumped parameter pulmonary vascular model, or any combination thereof.

5. The method of claim 1 , wherein the characteristic of blood flow comprises a blood flow rate and/or blood pressure.

6. The method of claim 1 , wherein the second vessel portion is downstream from the first vessel portion.

7. The method of claim 1 , wherein the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations governing blood flow of the lower-order patient-specific model of blood flow through the second vessel portion are solved simultaneously.

8. A system for processing images of a patient, the system comprising:

a data storage device storing instructions for performing a method of determining cardiovascular information for a patient; and

a processor configured to execute the instructions including:

receiving patient-specific image data of at least a portion of at least one vessel of a patient;

determining a patient-specific geometric model of a geometry of a first vessel portion of a patient's vessel, the patient-specific geometric model being generated based on the received patient-specific image data;

determining, using the at least one computer system, fluid dynamics equations governing blood flow through the patient-specific geometric model of the geometry of the first vessel portion of the patient's vessel;

determining a lower-order patient-specific model of blood flow through a second vessel portion, the second vessel portion corresponding to a second vessel of the patient and/or a second portion of the patient's vessel, the lower-order patient-specific model having fewer dimensions than the patient-specific geometric model, the lower-order patient-specific model being associated with one or more fluid dynamics equations; and

determining a value of a characteristic of blood flow through the first vessel portion and/or the second vessel portion by implicit closed-loop coupling and solving both the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations of the lower-order patient-specific model of blood flow through the second vessel portion.

9. The system of claim 8 , wherein the patient-specific geometric model comprises a three-dimensional model.

10. The system of claim 8 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter model.

11. The system of claim 8 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter heart model, a lumped parameter systemic vascular model, a lumped parameter pulmonary vascular model, or any combination thereof.

12. The system of claim 8 , wherein the characteristic of blood flow comprises a blood flow rate and/or blood pressure.

13. The system of claim 8 , wherein the second vessel portion is downstream from the first vessel portion.

14. The system of claim 8 , wherein the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations governing blood flow of the lower-order patient-specific model of blood flow through the second vessel portion are solved simultaneously.

15. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of processing images of a patient, the method comprising:

receiving, using at least one computer system, patient-specific image data of at least a portion of at least one vessel of a patient;

determining, using the at least one computer system, a patient-specific geometric model of a geometry of a first vessel portion of a patient's vessel, the patient-specific geometric model being generated based on the received patient-specific image data;

determining, using the at least one computer system, fluid dynamics equations governing blood flow through the patient-specific geometric model of the geometry of the first vessel portion of the patient's vessel;

determining, using the at least one computer system, a lower-order patient-specific model of blood flow through a second vessel portion, the second vessel portion corresponding to a second vessel of the patient and/or a second portion of the patient's vessel, the lower-order patient-specific model having fewer dimensions than the patient-specific geometric model, the lower-order patient-specific model being associated with one or more fluid dynamics equations; and

determining, using the at least one computer system, a value of a characteristic of blood flow through the first vessel portion and/or the second vessel portion by implicit closed-loop coupling and solving both the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations of the lower-order patient-specific model of blood flow through the second vessel portion.

16. The computer readable medium of claim 15 , wherein the patient-specific geometric model comprises a three-dimensional model.

17. The computer readable medium of claim 15 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter model.

18. The computer readable medium of claim 15 , wherein the lower-order patient-specific model of blood flow comprises a lumped parameter heart model, a lumped parameter systemic vascular model, a lumped parameter pulmonary vascular model, or any combination thereof.

19. The computer readable medium of claim 15 , wherein the second vessel portion is downstream from the first vessel portion.

20. The computer readable medium of claim 15 , wherein the fluid dynamics equations governing blood flow through the patient-specific geometric model and the fluid dynamics equations governing blood flow of the lower-order patient-specific model of blood flow through the second vessel portion are solved simultaneously.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Sep 11, 2025
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 072876/0775 →
RELEASE OF SECURITY INTEREST Recorded Jun 21, 2024
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 067801/0032 →
SECURITY INTEREST Recorded Jun 18, 2024
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 067775/0966 →
SECURITY INTEREST Recorded Jan 20, 2021
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 055037/0890 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 3, 2019
From: TAYLOR, CHARLES A.; KIM, HYUN JIN; COOGAN, JESSICA S.
To: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
Reel/Frame 049351/0347 →
Continuity (4)
Continuation 15196836 · Jun 29, 2016
Continuation 12661491 · Mar 17, 2010
Provisional Application 61210401 · Mar 17, 2009
Related Publication 20190318824A1 · Oct 17, 2019
Cited By (10)
US 12,315,076 US 12,354,755 US 12,387,325 US 12,408,885 US 12,423,813 US 12,446,965 US 12,499,646 US 12,512,196 US 12,531,159 US 12,567,489