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.

Date of Patent:
Jul. 12, 2022

Filed:

Jul. 17, 2019
Applicant:

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

Inventors:

Leo Grady, Millbrae, CA (US);

Gilwoo Choi, Mountain View, CA (US);

Michael Singer, Belmont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/026 (2006.01); A61B 5/021 (2006.01); A61B 5/145 (2006.01); A61B 5/02 (2006.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); A61B 5/0022 (2013.01); A61B 5/021 (2013.01); A61B 5/026 (2013.01); A61B 5/02035 (2013.01); A61B 5/14535 (2013.01); A61B 5/742 (2013.01); G16H 50/50 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01);
Abstract

Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient's vascular system; and using the identified features to produce estimates of the patient's blood flow characteristic for each of a plurality of points in the patient's geometric model.


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