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:
Jun. 02, 2026

Filed:

Mar. 13, 2023
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Rakesh Mullick, Bengaluru, IN;

Aanchal Mongia, Bengaluru, IN;

Sudhanya Chatterjee, Bengaluru, IN;

Dattesh Shanbhag, Bengaluru, IN;

Assignee:

GE PRECISION HEALTHCARE LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/055 (2006.01); G06T 5/70 (2024.01); G06V 10/70 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/055 (2013.01); G06T 5/70 (2024.01); G06V 10/70 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Various methods and systems are provided for reducing parametric heterogeneity in quantitative magnetic resonance (qMR) images, to increase robustness of in-field machine learning model inferences. In one example, a method for reducing qMR image heterogeneity includes, receiving a first qMR image, acquired using a first value of an acquisition parameter, determining a target value of the acquisition parameter based on a training dataset of a machine learning model, generating a synthetic qMR image, wherein the synthetic qMR image simulates a qMR image acquired using the target value of the acquisition parameter, by mapping the first qMR image to the synthetic qMR image using an analytical model, and feeding the synthetic qMR image to the machine learning model.


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