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:
Aug. 26, 2025

Filed:

Jan. 07, 2022
Applicant:

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

Inventors:

Daniel Vance Litwiller, Denver, CO (US);

Robert Marc Lebel, Calgary, CA;

Assignee:

GE Precision Healthcare LLC, Waukesha, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 5/50 (2006.01); G06T 11/00 (2006.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01);
U.S. Cl.
CPC ...
G06T 11/008 (2013.01); G06T 5/50 (2013.01); G06T 11/005 (2013.01); G06V 10/26 (2022.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01);
Abstract

Methods and systems are provided for processing medical images using deep neural networks. In one embodiment, a medical image processing method comprises receiving a first medical image having a first characteristic and one or more acquisition parameters corresponding to acquisition of the first medical image, incorporating the one or more acquisition parameters into a trained deep neural network, and mapping, by the trained deep neural network, the first medical image to a second medical image having a second characteristic. The deep neural network may thereby receive at least partial information regarding the type, extent, and/or spatial distribution of the first characteristic in a first medical image, enabling the trained deep neural network to selectively convert the received first medical image.


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