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:
Apr. 01, 2025

Filed:

Jan. 19, 2021
Applicants:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

The United States Government As Represented BY the Department of Veteran Affairs, Washington, DC (US);

Inventors:

Michael Loecher, Santa Monica, CA (US);

Daniel B. Ennis, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 5/11 (2006.01); A61B 5/318 (2021.01); G06N 3/08 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/0044 (2013.01); A61B 5/055 (2013.01); A61B 5/1128 (2013.01); A61B 5/318 (2021.01); A61B 5/7267 (2013.01); A61B 5/7289 (2013.01); A61B 5/748 (2013.01); G06N 3/08 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); A61B 2576/023 (2013.01);
Abstract

A method for magnetic resonance imaging (MRI) tag tracking includes: synthetically generating tagged data from natural images combined with programmed tag motion and a full Bloch simulation; training a convolutional neural network (CNN) with the synthetically generated tagged data to generate grid tag motion paths; acquiring MRI images using a tagged imaging method; inputting the acquired images into the CNN to estimate motion paths of tracked points; and determining from the estimated motion paths a path of tag lines through the cardiac cycle from a set of tagged MRI images. The method can calculate strain curves from the estimated motion paths using Ederivation.


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