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:
Dec. 31, 2024

Filed:

Jun. 24, 2021
Applicant:

Canon Medical Systems Corporation, Otawara, JP;

Inventors:

Yi Hu, Vernon Hills, IL (US);

Rui Hua, Vernon Hills, IL (US);

Joseph Manak, Vernon Hills, IL (US);

John Baumgart, Vernon Hills, IL (US);

Yu-Bing Chang, Vernon Hills, IL (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/70 (2024.01); G06N 3/04 (2023.01); G06N 3/082 (2023.01); G06T 5/73 (2024.01); G16H 30/20 (2018.01); A61B 6/00 (2006.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06N 3/04 (2013.01); G06N 3/082 (2013.01); G06T 5/73 (2024.01); G16H 30/20 (2018.01); A61B 6/5258 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01);
Abstract

A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.


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