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:
Jun. 22, 2021

Filed:

Sep. 15, 2017
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Mordechay Pinchas Freiman, Zichron-Yaakov, IL;

Liran Goshen, Pardes-Hanna, IL;

Hannes Nickisch, Hamburg, DE;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 5/02 (2006.01); G16H 50/50 (2018.01); G16H 30/40 (2018.01); A61B 5/026 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 6/504 (2013.01); A61B 5/026 (2013.01); A61B 5/02007 (2013.01); A61B 6/507 (2013.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); A61B 5/0263 (2013.01); A61B 6/481 (2013.01); A61B 2576/023 (2013.01); G06T 7/0012 (2013.01);
Abstract

The present invention relates to an apparatus () and a method for determining a fractional flow reserve. For this purpose, a new personalized hyperemic boundary condition model is provided. The personalized hyperemic boundary condition model is used to condition a parametric model for a simulation of a blood flow in a coronary tree () of a human subject. As a basis for the personalized hyperemic boundary condition model, a predefined hyperemic boundary condition model is used, which represents empirical derived hyperemic boundary condition parameters. However, these empirical hyperemic boundary condition parameters are not specific for a human subject under examination. In order to achieve a specification of the respective predefined hyperemic boundary condition model, specific human subject features are derived from a volumetric image of the coronary tree of the human subject. These features are used to adjust the predefined hyperemic boundary condition model resulting in a personalized hyperemic boundary condition model. As an effect, a flow simulation using the parametric model conditioned by the personalized hyperemic boundary condition model. As an effect, a flow simulation using the parametric model conditioned by the personalized hyperemic boundary condition model improves the performance of flow simulation in order to determine an enhanced fractional flow reserve.


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