Granted Patent B2

US 11,462,329 · App. 16/654,698 · Granted Oct 4, 2022

Inventors: Mark Rabbat (Redwood City, CA); Charles Taylor (Atherton, CA); Michiel Schaap (Redwood City, CA); Timothy Fonte (San Francisco, CA); Leo Grady (Redwood City, CA)

Assignee: HeartFlow, Inc.

G16H50/30A61B5/02007A61B5/4848A61B5/7278G16H30/20G16H50/50

Abstract

Claims (59)

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;

identifying adipose tissue in the received medical image;

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, based on the medical image, adipose tissue within the defined distance from the vessel;

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

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

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.

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:

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

4. The method of claim 1 , further comprising:

detecting a centerline of the selected vessel; and

detecting the adipose tissue based on the defined distance being perpendicular to the centerline of the selected vessel.

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;

identifying adipose tissue in the received medical image;

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, based on the medical image, adipose tissue within the defined distance from the vessel;

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

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

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.

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:

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

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

detecting a centerline of the selected vessel; and

detecting the adipose tissue based on the defined distance being perpendicular to the centerline of the selected vessel.

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;

identifying adipose tissue in the received medical image;

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, based on the medical image, adipose tissue within the defined distance from the vessel;

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

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

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.

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.

Assignments (5)

Continuity (2)

Cited By (26)

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