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:
May. 13, 2025

Filed:

Apr. 08, 2019
Applicant:

Siemens Medical Solutions Usa, Inc., Malvern, PA (US);

Inventors:

Fei Gao, Knoxville, TN (US);

Vijay Shah, Knoxville, TN (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 11/008 (2013.01); G06F 18/2178 (2023.01); G06N 3/045 (2023.01); G06T 7/0012 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods and systems of revising image models for nuclear imaging are disclosed. A system receives first patient scan data corresponding to one or more nuclear imaging scans performed on one or more individuals and generates a first reconstructed image by applying a first image model to the first patient scan data. Feedback is received regarding the first reconstructed image and the feedback is provided as an input to a deep-reinforcement learning process. The deep-reinforcement learning process is configured to generate at least one modification for the first image model based on the feedback regarding the first reconstructed image. A second image model is generated by applying the at least one modification generated by the deep-reinforcement learning process to the first image model.


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