US 12,142,384 B2
Systems and methods for assessing cardiovascular disease and treatment effectiveness from adipose tissue
Mark Rabbat, Redwood City, CA (US); Charles Taylor, Atherton, CA (US); Michiel Schaap, Oegstgeest (NL); Timothy Fonte, San Francisco, CA (US); and Leo Grady, Darien, CT (US)
Assigned to HeartFlow, Inc., Mountain View, CA (US)
Filed by HeartFlow, Inc., Mountain View, CA (US)
Filed on Oct. 10, 2023, as Appl. No. 18/483,759.
Application 18/483,759 is a continuation of application No. 17/930,090, filed on Sep. 7, 2022, granted, now 11,817,219.
Application 17/930,090 is a continuation of application No. 16/654,698, filed on Oct. 16, 2019, granted, now 11,462,329, issued on Oct. 4, 2022.
Claims priority of provisional application 62/746,972, filed on Oct. 17, 2018.
Prior Publication US 2024/0038398 A1, Feb. 1, 2024
Int. Cl. G16H 50/30 (2018.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01); G16H 30/20 (2018.01); G16H 50/50 (2018.01)
CPC G16H 50/30 (2018.01) [A61B 5/02007 (2013.01); A61B 5/4848 (2013.01); A61B 5/7278 (2013.01); G16H 30/20 (2018.01); G16H 50/50 (2018.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining a blood-flow metric based on adipose tissue, comprising:
receiving, by at least one processor, a medical image of a region of interest of a vascular system of a patient, wherein the medical image includes one or more of a Computed Tomography (CT) image, a Magnetic Resonance Image (MRI), or a Computed Tomography Angiography (CTA) image;
identifying, by the at least one processor, adipose tissue in the received medical image;
receiving, by the at least one processor, one or more of a geometric vascular model or a blood flow model that includes a representation of the region of interest;
computing, by the at least one processor, an inflammation index associated with the one or more of the geometric vascular model or the blood flow model, using the identified adipose tissue; and
modifying, by the at least one processor, a blood flow computation based on the computed inflammation index; and determining, based on the modified blood flow computation, a fractional flow reserve of the vascular system of the patient.