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:
Nov. 14, 2023

Filed:

Jun. 01, 2021
Applicant:

University of Virginia Patent Foundation, Charlottesville, VA (US);

Inventors:

Craig H. Meyer, Charlottesville, VA (US);

Anudeep Konda, Los Angeles, CA (US);

Christopher M. Kramer, Charlottesville, VA (US);

Xue Feng, Charlottesville, VA (US);

Assignee:

University of Virginia Patent Foundation, Charlottesville, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06T 7/13 (2017.01); G06T 7/70 (2017.01); G06K 9/62 (2022.01); A61B 5/029 (2006.01); A61B 5/026 (2006.01); A61B 5/00 (2006.01); A61B 5/107 (2006.01); G06T 7/11 (2017.01); G06F 18/211 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
A61B 5/0263 (2013.01); A61B 5/029 (2013.01); A61B 5/1071 (2013.01); A61B 5/1075 (2013.01); A61B 5/7267 (2013.01); G06F 18/211 (2023.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06V 2201/031 (2022.01);
Abstract

In one aspect the disclosed technology relates to embodiments of a method which, includes acquiring magnetic resonance imaging data, for a plurality of images, of the heart of a subject. The method also includes segmenting, using cascaded convolutional neural networks (CNN), respective portions of the images corresponding to respective epicardium layers and endocardium layers for a left ventricle (LV) and a right ventricle (RV) of the heart. The segmenting is used for extracting biomarker data from segmented portions of the images and, in one embodiment, assessing hypertrophic cardiomyopathy from the biomarker data. The method further includes segmenting processes for T1 MRI data and LGE MRI data.


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