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:
Jan. 07, 2025

Filed:

Jun. 24, 2022
Applicant:

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

Inventors:

Timothy Fonte, San Francisco, CA (US);

Gilwoo Choi, Mountain View, CA (US);

Leo Grady, Darien, CT (US);

Michael Singer, Belmont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/026 (2006.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/107 (2006.01); A61B 5/145 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); A61B 6/46 (2024.01); A61B 6/50 (2024.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61B 5/026 (2013.01); A61B 5/0022 (2013.01); A61B 5/02007 (2013.01); A61B 5/0205 (2013.01); A61B 5/021 (2013.01); A61B 5/107 (2013.01); A61B 5/14535 (2013.01); A61B 5/14546 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); A61B 5/7282 (2013.01); A61B 5/742 (2013.01); A61B 5/743 (2013.01); A61B 6/032 (2013.01); A61B 6/463 (2013.01); A61B 6/504 (2013.01); A61B 6/507 (2013.01); A61B 6/5217 (2013.01); A61B 6/563 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01); A61B 5/024 (2013.01); A61B 2560/0475 (2013.01);
Abstract

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.


Find Patent Forward Citations

Loading…