IP Library Granted Patent US 11,127,503
Granted Patent B2
US 11,127,503 · App. 17/218,844 · Granted Sep 21, 2021

System and method for assessing cardiovascular disease and treatment effectiveness from adipose tissue

Inventors: Mark Rabbat (Redwood City, CA); Charles Taylor (Atherton, CA); Michiel Schaap (Redwood City, CA); Timothy Fonte (San Francisco, CA); Leo Grady (Darien, CT)
Assignee: HeartFlow, Inc.
G16H50/30A61B5/02007A61B5/4848A61B5/7278G16H30/20G16H50/50
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Quick Facts
Patent No.
US 11,127,503
App. No.
17/218,844
Granted
Sep 21, 2021
Kind
B2
Abstract

Systems and methods are disclosed for assessing cardiovascular disease and treatment effectiveness based on adipose tissue. One method includes identifying a vascular bed of interest in a patient's vasculature; receiving a medical image of the patient's identified vascular bed of interest; identifying adipose tissue in the received medical image; receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest; and computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue.

Claims (62)

1. A method for assessing cardiovascular disease and treatment effectiveness based on adipose tissue, the method comprising:

identifying a vascular bed of interest in a patient's vasculature;

receiving a medical image of the patient's identified vascular bed of interest;

receiving a selected vessel in the vascular bed of interest;

receiving a defined distance from the vessel, the defined distance being a distance from the selected vessel from which adipose tissue may be measured;

detecting a centerline of the selected vessel;

detecting, based on the medical image and on the defined distance being perpendicular to the centerline of the selected vessel, adipose tissue within the defined distance from the vessel;

identifying the adipose tissue in the received medical image;

receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest;

computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue; and

quantifying the detected adipose tissue.

2. The method of claim 1 , further comprising:

computing the inflammation index based on the quantified detected adipose tissue.

3. The method of claim 1 , further comprising:

determining, from the medical image, a percentage of voxels containing representations of adipose tissue within the defined distance from the vessel; and

quantifying the detected adipose tissue based on the determined percentage of voxels.

4. The method of claim 3 , further comprising:

computing the inflammation index based on the quantified detected adipose tissue.

5. The method of claim 1 , further comprising:

modifying a blood flow computation based on the computed inflammation index.

6. The method of claim 1 , further comprising:

generating a patient disease assessment or treatment evaluation based on the computed inflammation index.

7. A system for assessing cardiovascular disease and treatment effectiveness based on adipose tissue, the system comprising:

a data storage device storing instructions for assessing cardiovascular disease and treatment effectiveness based on adipose tissue; and

a processor configured to execute the instructions to perform a method including:

identifying a vascular bed of interest in a patient's vasculature;

receiving a medical image of the patient's identified vascular bed of interest;

receiving a selected vessel in the vascular bed of interest;

receiving a defined distance from the vessel, the defined distance being a distance from the selected vessel from which adipose tissue may be measured;

detecting a centerline of the selected vessel;

detecting, based on the medical image and on the defined distance being perpendicular to the centerline of the selected vessel, adipose tissue within the defined distance from the vessel;

identifying the adipose tissue in the received medical image;

receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest;

computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue; and

quantifying the detected adipose tissue.

8. The system of claim 7 , wherein the system is further configured for:

computing the inflammation index based on the quantified detected adipose tissue.

9. The system of claim 7 , wherein the system is further configured for:

determining, from the medical image, a percentage of voxels containing representations of adipose tissue within the defined distance from the vessel; and

quantifying the detected adipose tissue based on the determined percentage of voxels.

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

computing the inflammation index based on the quantified detected adipose tissue.

11. The system of claim 7 , wherein the system is further configured for:

modifying a blood flow computation based on the computed inflammation index.

12. The system of claim 7 , wherein the system is further configured for:

generating a patient disease assessment or treatment evaluation based on the computed inflammation index.

13. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of assessing cardiovascular disease and treatment effectiveness based on adipose tissue, the method comprising:

identifying a vascular bed of interest in a patient's vasculature;

receiving a medical image of the patient's identified vascular bed of interest;

receiving a selected vessel in the vascular bed of interest;

receiving a defined distance from the vessel, the defined distance being a distance from the selected vessel from which adipose tissue may be measured;

detecting a centerline of the selected vessel;

detecting, based on the medical image and on the defined distance being perpendicular to the centerline of the selected vessel, adipose tissue within the defined distance from the vessel:

identifying the adipose tissue in the received medical image;

receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest;

computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue; and

quantifying the detected adipose tissue.

14. The non-transitory computer readable medium of claim 13 , the method further comprising:

computing the inflammation index based on the quantified detected adipose tissue.

15. The non-transitory computer readable medium of claim 13 , the method further comprising:

determining, from the medical image, a percentage of voxels containing representations of adipose tissue within the defined distance from the vessel; and

quantifying the detected adipose tissue based on the determined percentage of voxels.

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 Jun 7, 2021
From: RABBAT, MARK; TAYLOR, CHARLES; SCHAAP, MICHIEL; FONTE, TIMOTHY; GRADY, LEO
To: HEARTFLOW, INC.
Reel/Frame 056455/0454 →
Cited By (7)
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