IP Library Granted Patent US 11,547,367
Granted Patent B2
US 11,547,367 · App. 16/123,673 · Granted Jan 10, 2023

Method and system for quantifying limitations in coronary artery blood flow during physical activity in patients with coronary artery disease

Inventor: Charles A. Taylor (Atherton, CA)
Assignee: HeartFlow, Inc.
A61B5/7275A61B5/0044A61B5/021A61B5/029G16H50/30G16H50/50G16Z99/00A61B2576/023Y02A90/10
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Quick Facts
Patent No.
US 11,547,367
App. No.
16/123,673
Granted
Jan 10, 2023
Kind
B2
Abstract

Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

Claims (41)

1. A system for quantifying limitations in coronary artery blood flow during exercise in a patient with coronary artery disease, the system comprising:

at least one processor; and

at least one memory storing instructions that, when executed by the at least one processor, perform operations comprising:

receiving patient-specific anatomical image data regarding geometry of a patient's vasculature;

creating a three-dimensional geometric model based on the received patient-specific anatomical image data representing the geometry of the patient's vasculature, the three-dimensional geometric model reflecting vascular geometry at a first intensity level of exercise;

computing, using the three-dimensional geometric model, a value of a blood flow characteristic of blood flow through the three-dimensional geometric model for the first intensity level of exercise;

determining a threshold value quantifying a limitation of exercise of the patient based on the value of the blood flow characteristic at the first intensity level of exercise, wherein the threshold value is one of a hypothetical normal state or a population norm;

determining whether the value of the blood flow characteristic is at or below the determined threshold value;

upon determining that the value of the blood flow characteristic is at or below the determined threshold value, simulating a second intensity level of exercise;

computing, using the three-dimensional geometric model, a blood flow characteristic of blood flow through the three-dimensional geometric model for the second intensity level of exercise, different from the first intensity level of exercise; and

providing a recommendation of a maximum level of exercise based on the determined threshold value, the first intensity level of exercise, and the second intensity level of exercise.

2. The system of claim 1 , wherein the at least one processor is further configured for: generating a physics-based model based on the three-dimensional geometric model; and computing the blood flow characteristic based on the physics-based model, wherein the physics-based model corresponds to the second intensity level of exercise.

3. The system of claim 1 , wherein the computed blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, plaque vulnerability, and FFR.

4. The system of claim 1 , wherein the second intensity level of exercise comprises an elevated intensity level of exercise relative to the first intensity level of exercise.

5. The system of claim 1 , wherein the three-dimensional geometric model represents at least the portion of a heart of the patient that includes at least a portion of an aorta and at least a portion of a plurality of coronary arteries emanating from the portion of the aorta.

6. The system of claim 5 , wherein the at least one processor is further configured for: computing the threshold value at a plurality of locations in the plurality of coronary arteries.

7. A method for quantifying limitations in coronary artery blood flow during exercise in a patient with coronary artery disease using at least one computer system, the method comprising:

receiving patient-specific anatomical image data regarding geometry of a patient's vasculature; creating a three-dimensional geometric model based on the received patient-specific image representing the geometry of the patient's vasculature, the three-dimensional geometric model reflecting vascular geometry at a first intensity level of exercise;

computing, using the three-dimensional geometric model, a value of a blood flow characteristic of blood flow through the three-dimensional geometric model for the first intensity level of exercise;

determining a threshold value quantifying a limitation of exercise of the patient based on the value of the blood flow characteristic at the first intensity level of exercise, wherein the threshold value is one of a hypothetical normal state or a population norm;

determining whether the value of the blood flow characteristic is at or below the determined threshold value;

upon determining that the value of the blood flow characteristic is at or below the determined threshold value, simulating a second intensity level of exercise;

computing, using the three-dimensional geometric model, a blood flow characteristic of blood flow through the three-dimensional geometric model for the second intensity level of exercise, different from the first intensity level of exercise; and

providing a recommendation of a maximum level of exercise based on the determined threshold value, the first intensity level of exercise, and the second intensity level of exercise.

8. The method of claim 7 , further comprising: generating a physics-based model based on the three-dimensional geometric model; and computing the blood flow characteristic based on the physics-based model, wherein the physics-based model corresponds to the second intensity level of exercise.

9. The method of claim 7 , wherein the computed blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, plaque vulnerability, and FFR.

10. The method of claim 7 , wherein the second intensity level of exercise comprises an elevated intensity level of exercise relative to the first intensity level of exercise.

11. The method of claim 7 , wherein the three-dimensional geometric model represents at least the portion of a heart of the patient that includes at least a portion of an aorta and at least a portion of a plurality of coronary arteries emanating from the portion of the aorta.

12. The method of claim 11 , further comprising:

computing the threshold value at a plurality of locations in the plurality of coronary arteries.

13. A non-transitory computer readable medium for use on at least one computer system containing computer-executable programming instructions for quantifying limitations in coronary artery blood flow during exercise in a patient with coronary artery disease, the programming instructions executing operations comprising:

receiving patient-specific anatomical image data regarding geometry of a patient's vasculature;

creating a three-dimensional geometric model based on the received patient-specific image data representing the geometry of the patient's vasculature, the three-dimensional geometric model reflecting vascular geometry at a first intensity level of exercise;

computing, using the three-dimensional geometric model, a value of a blood flow characteristic of blood flow through the three-dimensional geometric model for the first intensity level of exercise;

determining a threshold value quantifying a limitation of exercise of the patient based on the value of the blood flow characteristic at the first intensity level of exercise, wherein the threshold value is one of a hypothetical normal state or a population norm;

determining whether the value of the blood flow characteristic is at or below the determined threshold value;

upon determining that the value of the blood flow characteristic is at or below the determined threshold value, simulating a second intensity level of exercise;

computing, using the three-dimensional geometric model, a blood flow characteristic of blood flow through the three-dimensional geometric model for the second intensity level of exercise, different from the first intensity level of exercise; and

providing a recommendation of a maximum level of exercise based on the determined threshold value, the first intensity level of exercise, and the second intensity level of exercise.

14. The non-transitory computer readable medium of claim 13 , wherein the operations further comprise: generating a physics-based model based on the three-dimensional geometric model; and computing the blood flow characteristic based on the physics-based model, wherein the physics-based model corresponds to the second intensity level of exercise.

15. The non-transitory computer readable medium of claim 13 , where the computed blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, plaque vulnerability, and FFR.

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 Sep 13, 2018
From: TAYLOR, CHARLES A.
To: HEARTFLOW, INC.
Reel/Frame 046868/0895 →
Cited By (3)
US 12,620,092 US 12,635,965 US 12,712,082