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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12068079 B1

PDFFull Text
Date of Patent:
Aug. 20, 2024

Filed:

Aug. 03, 2016

Systems and methods for virtual contrast agent simulation and computational fluid dynamics (cfd) to compute functional significance of stenoses

Applicant:

Heartflow, Inc., Redwood City, CA (US);

Inventors:

Sethuraman Sankaran, Palo Alto, CA (US);

Leo Grady, Millbrae, CA (US);

Charles A. Taylor, Menlo Park, CA (US);

Assignee:

HeartFlow, Inc., Mountain View, CA (US);

Attorney:

Bookoff McAndrews, PLLC

Primary Examiner:

Akash Saxena

Int. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01); A61B 5/026 (2006.01); A61B 6/00 (2024.01); A61B 6/50 (2024.01); G06T 19/00 (2011.01); G06T 19/20 (2011.01); G06V 20/20 (2022.01); G16H 10/60 (2018.01); G16H 50/50 (2018.01); G16Z 99/00 (2019.01);
U.S. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/02007 (2013.01); A61B 5/026 (2013.01); A61B 5/7275 (2013.01); A61B 6/481 (2013.01); A61B 6/503 (2013.01); A61B 6/504 (2013.01); A61B 6/507 (2013.01); G06T 19/20 (2013.01); G16H 10/60 (2018.01); G16H 50/50 (2018.01); G16Z 99/00 (2019.02); A61B 6/5217 (2013.01); G06T 19/006 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30104 (2013.01); G06T 2210/41 (2013.01); G06V 20/20 (2022.01);
Abstract

Systems and methods are disclosed for assessing a risk of disease. One method includes obtaining an anatomic model associated with a target anatomy; modeling, using a processor, an injection of one or more virtual contrast agents into the anatomic model; performing a simulation of flow of blood and the one or more virtual contrast agents through the anatomic model; and computing one or more characteristics of concentration associated with the one or more virtual contrast agents at one or more locations in the anatomic model based on the simulation.

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