IP Library Granted Patent US 11,862,342
Granted Patent B2
US 11,862,342 · App. 18/184,769 · Granted Jan 2, 2024

Systems and methods for embolism prediction using embolus source and destination probabilities

Inventors: Leo J. Grady (Darien, CT); Gilwoo Choi (Mountain View, CA); Charles A. Taylor (Atherton, CA); Christopher K. Zarins (Austin, TX)
Assignee: HeartFlow, Inc.
G16H50/20A61B34/10G06F17/18G06N7/01G16H50/30G16H50/50A61B2034/105A61B2034/107
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Quick Facts
Patent No.
US 11,862,342
App. No.
18/184,769
Granted
Jan 2, 2024
Kind
B2
Abstract

Systems and methods are disclosed for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature; determining or receiving a location of interest in the patient-specific anatomic model of the patient's vasculature; using a computing processor for calculating blood flow through the patient-specific anatomic model to determine blood flow characteristics through at least the portion of the patient's vasculature of the patient-specific anatomic model downstream from the location of interest; and using a computing processor for particle tracking through the simulated blood flow to determine a destination probability of an embolus originating from the location of interest in the patient-specific anatomic model, based on the determined blood flow characteristics.

Claims (65)

1. A computer-implemented method of determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

determining a patient-specific probability of an embolus lodging at the destination location of interest; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

2. The computer-implemented method of claim 1 , further comprising:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

3. The computer-implemented method of claim 1 , further comprising:

determining a target location in the patient's vasculature, wherein the determined patient-specific probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

4. The computer-implemented method of claim 1 , further comprising:

determining the destination location of interest based on the determined patient-specific probability.

5. The computer-implemented method of claim 1 , further comprising:

determining an association between a target location in the patient-specific anatomic model, the determined patient-specific probability, and the source location of interest; and

outputting a patient risk assessment or treatment plan based on the determined association.

6. The computer-implemented method of claim 5 , further comprising:

determining, for a second source location of interest, a second patient-specific probability of an embolus associated with the second source location of interest;

determining an association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the second source location of interest;

comparing the association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the source location of interest, and the association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the second source location of interest; and

determining or generating a display or a treatment recommendation based on the comparing.

7. The computer-implemented method of claim 1 , further comprising:

determining patient risk of a disease, based on the determined patient-specific probability of the embolus, wherein the patient risk of the disease includes patient risk of a disease associated with a location in the patient's vasculature.

8. The computer-implemented method of claim 1 , further comprising:

simulating a path of a dislodged embolus from each source location of interest, wherein the determined patient-specific probability of an embolus lodging at the destination location of interest is based on the simulated path.

9. A computer system for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the system comprising:

at least one data storage device storing instructions for the determining a patient risk assessment or treatment plan based on emboli dislodgement and destination; and

at least one processor configured to execute the instructions to perform a method including:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

determining a patient-specific probability of an embolus lodging at the destination location of interest; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

10. The system of claim 9 , wherein the system is further configured for:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

11. The system of claim 9 , wherein the system is further configured for:

determining a target location in the patient's vasculature, wherein the determined patient-specific probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

12. The system of claim 9 , wherein the system is further configured for:

determining the destination location of interest based on the determined patient-specific probability.

13. The system of claim 9 , wherein the system is further configured for:

determining an association between a target location in the patient-specific anatomic model, the determined patient-specific probability, and the source location of interest; and

outputting a patient risk assessment or treatment plan based on the determined association.

14. The system of claim 13 , wherein the system is further configured for:

determining, for a second source location of interest, a second patient-specific probability of an embolus associated with the second source location of interest;

determining an association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the second source location of interest;

comparing the association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the source location of interest, and the association between the target location in the patient-specific anatomic model, the determined patient-specific probability, and the second source location of interest; and

determining or generating a display or a treatment recommendation based on the comparing.

15. The system of claim 9 , wherein the system is further configured for:

determining patient risk of a disease, based on the determined patient-specific probability of the embolus, wherein the patient risk of the disease includes patient risk of a disease associated with a location in the patient's vasculature.

16. The system of claim 9 , the system is further configured for:

simulating a path of a dislodged embolus from each source location of interest, wherein the determined patient-specific probability of an embolus lodging at the destination location of interest is based on the simulated path.

17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

determining a patient-specific probability of an embolus lodging at the destination location of interest; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

18. The non-transitory computer readable medium of claim 17 , the method further comprising:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

19. The non-transitory computer readable medium of claim 17 , the method further comprising:

determining a target location in the patient's vasculature, wherein the determined patient-specific probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

20. The non-transitory computer readable medium of claim 19 , the method further comprising:

determining the destination location of interest based on the computed determined patient-specific probability.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded Sep 11, 2025
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 072876/0775 →
SECURITY INTEREST Recorded Jun 18, 2024
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 067775/0966 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2023
From: GRADY, LEO J.; CHOI, GILWOO; TAYLOR, CHARLES A.; ZARINS, CHRISTOPHER K.
To: HEARTFLOW, INC.
Reel/Frame 063000/0459 →
Cited By (6)
US 12,555,228 US 12,558,048 US 12,599,352 US 12,620,092 US 12,635,965 US 12,712,082