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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.

Patent No.:

US 12705741 B1

PDFFull Text
Date of Patent:
Aug. 11, 2026

Filed:

Jul. 01, 2022

Automatic method for segmentation of a thrombus and a lesion in a three-dimensional brain image

Applicants:

Universite D'evry Val D'essonne, Evry-Courcouronnes, FR;

Centre Hospitalier Sud Francilien, Corbeil-Essonnes, FR;

Inventors:

Jonathan Kobold, Weilheim, DE;

Vincent Vigneron, Evry Courcouronnes, FR;

Hichem Maaref, Evry Courcouronnes, FR;

Cosmin Alecu, Corbeil-Essonnes, FR;

Didier Smadja, Corbeil-Essonnes, FR;

Nicola Chausson, Corbeil-Essonnes, FR;

Yann Lhermitte, Corbeil-Essonnes, FR;

Assignees:

UNIVERSITE D'EVRY VAL D'ESSONNE, Evry-Courcouronnes, FR;

CENTRE HOSPITALIER SUD FRANCILIEN, Corbeil-Essonnes, FR;

Attorney:

CUSHMAN PARTNERS, LLC

Primary Examiner:

Tahmina N Ansari

Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 5/40 (2006.01); G06T 7/12 (2017.01); G06T 15/00 (2011.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 5/40 (2013.01); G06T 7/12 (2017.01); G06T 15/00 (2013.01); G16H 30/40 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A method for segmenting a thrombus and a lesion caused by the thrombus in a three-dimensional brain image, includes supervised training of a primary recurrent artificial neural network to provide a lesion prediction from an image; supervised training of a secondary recurrent artificial neural network to provide a thrombus prediction from an image; using each trained primary recurrent artificial neural network on each image of a set of images obtained from the three-dimensional image, and merging the lesion predictions obtained to obtain a set of lesion segmentations: if the set of lesion segmentations includes a segmentation, selecting the widest segmentation as the lesion segmentation; using each trained secondary recurrent artificial neural network on each image of a set of secondary images obtained from the three-dimensional image, and merging the thrombus predictions obtained to obtain a set of thrombus segmentations.

Find Patent Forward Citations

Kobold, Jonathan. (2026). Automatic method for segmentation of a thrombus and a lesion in a three-dimensional brain image (U.S. Patent No. 12705741). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12705741

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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