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:
Oct. 27, 2020

Filed:

Dec. 09, 2016
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Yelena Viktorovna Tsymbalenko, Mequon, WI (US);

Paul O'Dea, Muskego, WI (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 8/00 (2006.01); A61B 5/00 (2006.01); A61B 8/08 (2006.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01); G16H 50/50 (2018.01); G16H 30/40 (2018.01); A61B 8/14 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7264 (2013.01); A61B 5/743 (2013.01); A61B 8/5207 (2013.01); A61B 8/5215 (2013.01); A61B 8/585 (2013.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); A61B 5/004 (2013.01); A61B 5/0037 (2013.01); A61B 8/14 (2013.01); A61B 8/4444 (2013.01); A61B 8/461 (2013.01); A61B 8/5223 (2013.01); A61B 2576/00 (2013.01);
Abstract

Systems and methods are provided for fully automated image optimization based on automated organ recognition. In medical imaging systems, during medical imaging based on a particular imaging technique, an anatomical feature in an area being imaged may be automatically identifying, and based on the identifying of the anatomical feature, one or more imaging parameters or settings for optimizing imaging quality for the identified anatomical feature may be automatically determined. Imaging functions may then be configured based on the determined one or more imaging parameters or settings, and, based on processing of medical imaging dataset acquired based on that configuration, one or more medical images for rendering. A deep learning and/or neural network based model may be used in identifying the anatomical feature and selecting the one or more imaging parameters or settings.


Find Patent Forward Citations

Loading…