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:
Sep. 29, 2026

Filed:

Feb. 14, 2022
Applicant:

Mayo Foundation for Medical Education and Research, Rochester, MN (US);

Inventors:

Nathan R. Huber, Saint Peter, MN (US);

Shuai Leng, Rochester, MN (US);

Andrew D. Missert, Rochester, MN (US);

Lifeng Yu, Byron, MN (US);

Cynthia H. Mccollough, Byron, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/60 (2024.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 5/60 (2024.01); G06T 5/50 (2013.01); G06T 5/70 (2024.01); G16H 30/40 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20224 (2013.01); G06T 2207/30004 (2013.01);
Abstract

A neural network is trained and implemented to simultaneously remove noise and artifacts from medical images using a Generalized noise and Artifact Reduction Network ('GARNET') method for training a convolutional neural network (“CNN”) or other suitable neural network or machine learning algorithm. Noise and artifact realizations from phantom images are used to synthetically corrupt images for training. Corrupted and uncorrupted image pairs are used for training GARNET. Following the training phase, GARNET can be used to improve image quality of routine medical images by way of noise and artifact reduction.


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