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.
Patent No.:
Date of Patent:
Apr. 21, 2026
Filed:
May. 26, 2022
GE Precision Healthcare Llc, Wauwatosa, WI (US);
Purdue Research Foundation, West Lafayette, IN (US);
University of Notre Dame Du Lac, South Bend, IN (US);
Obaidullah Rahman, South Bend, IN (US);
Madhuri Mahendra Nagare, Karmala, IN;
Roman Melnyk, New Berlin, WI (US);
Jie Tang, Merion Station, PA (US);
Brian E Nett, Wauwatosa, WI (US);
Charles Addison Bouman, West Lafayette, IN (US);
Ken Sauer, South Bend, IN (US);
GE Precision Healthcare LLC, Waukesha, WI (US);
Purdue Research Foundation, West Lafayette, IN (US);
University of Notre Dame du Lac, South Bend, IN (US);
Abstract
Techniques are described that facilitate generating neural network (NNs) tailored to optimize specific properties of medical images using novel loss functions. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a training component that trains a NN to generate a modified version of computed tomography (CT) data comprising one or more optimized properties relative to the CT data using a loss function tailored to control learning adaptation of the NN based on error attributed to one or more defined components associated with the CT data, resulting in a trained NN, wherein the one or more defined components comprise at least one of a frequency component or a spatial feature component.