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. 13, 2026

Filed:

Aug. 05, 2021
Applicant:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Ryan Leonard Spilker, Arlington, MA (US);

Charles Anthony Taylor, Jr., Atherton, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); G06F 30/20 (2020.01); G06F 111/10 (2020.01); G06T 17/20 (2006.01); G06T 19/20 (2011.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); G06F 30/20 (2020.01); G06T 17/20 (2013.01); G06T 19/20 (2013.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G06F 2111/10 (2020.01); G06T 2210/24 (2013.01); G06T 2210/41 (2013.01);
Abstract

Computational methods are used to create cardiovascular simulations having desired hemodynamic features. Cardiovascular modeling methods produce descriptions of blood flow and pressure in the heart and vascular networks. Numerical methods optimize and solve nonlinear equations to find parameter values that result in desired hemodynamic characteristics including related flow and pressure at various locations in the cardiovascular system, movements of soft tissues, and changes for different physiological states. The modeling methods employ simplified models to approximate the behavior of more complex models with the goal of to reducing computational expense. The user describes the desired features of the final cardiovascular simulation and provides minimal input, and the system automates the search for the final patient-specific cardiovascular model.


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