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. 23, 2024

Filed:

Jun. 11, 2019
Applicants:

Socovar, Societe En Commandite, Montreal, CA;

Nagib Dahdah, Ville Mont-Royal, CA;

Farida Cheriet, Montréal, CA;

Inventors:

Atefeh Abdolmanafi, Montréal, CA;

Luc Duong, Verdun, CA;

Nagib Dahdah, Ville Mont-Royal, CA;

Farida Cheriet, Montréal, CA;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06F 18/21 (2023.01); G06F 18/2413 (2023.01); G06F 18/243 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
A61B 5/0066 (2013.01); A61B 5/0044 (2013.01); A61B 5/7267 (2013.01); G06F 18/21 (2023.01); G06F 18/2413 (2023.01); G06F 18/24323 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/20 (2018.01); A61B 5/0084 (2013.01); A61B 2576/023 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/03 (2022.01);
Abstract

There is described a system for determining a coronal artery tissue type. The system generally has an optical coherence tomography (OCT) imaging system being configured for acquiring an OCT image of coronal artery tissue; and a controller configured to perform the steps of: using trained feature extraction engines, extracting corresponding feature vectors comprising a plurality of features in at least a region of interest of the OCT image; using trained classification engines, determining corresponding preliminary coronal artery tissue types associated to the region of interest of the OCT image based on corresponding ones of the plurality of feature vectors; and using a majority voting engine, majority voting an output coronal artery tissue type associated to the region of interest of the OCT image based on the previously determined preliminary coronal artery tissue types.


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