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:
Mar. 29, 2022

Filed:

Mar. 22, 2019
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Thomas Atta-Fosu, Cleveland Heights, OH (US);

Soumya Ghose, Niskayuna, NY (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 6/03 (2006.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); A61B 5/361 (2021.01); A61B 18/00 (2006.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 6/503 (2013.01); A61B 6/032 (2013.01); A61B 6/463 (2013.01); G16H 50/30 (2018.01); A61B 5/361 (2021.01); A61B 6/469 (2013.01); A61B 6/5217 (2013.01); A61B 6/54 (2013.01); A61B 2018/00351 (2013.01); A61B 2018/00577 (2013.01); G06N 20/00 (2019.01); G06T 2207/30048 (2013.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01);
Abstract

Embodiments access a set of radiological images acquired from a population of subjects, where a member of the set of radiological images includes a left atrium (LA) region; construct a statistical shape differential atlas from the images; generate a template LA model from the statistical shape differential atlas, where the template LA model includes a site of interest (SOI); acquire a pre-ablation radiological image of a region of tissue in a patient demonstrating atrial fibrillation (AF) pathology; generate a patient LA model from the pre-ablation image; compute a deformation field that registers the SOI to the patient LA model using deformable registration; compute a patient feature vector based on the deformation field; generate an AF probability score for the patient based on the feature vector; generate a classification of the patient based, at least in part, on the AF probability score; and display the classification or the AF probability score.


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