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:
Apr. 06, 2021

Filed:

Jun. 26, 2017
Applicant:

Rensselaer Polytechnic Institute, Troy, NY (US);

Inventors:

Ge Wang, Loudonville, NY (US);

Wenxiang Cong, Albany, NY (US);

Qingsong Yang, Sunnyvale, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 11/008 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 11/006 (2013.01); G06T 2210/41 (2013.01); G06T 2211/421 (2013.01); G06T 2211/424 (2013.01);
Abstract

Tomographic/tomosynthetic image reconstruction systems and methods in the framework of machine learning, such as deep learning, are provided. A machine learning algorithm can be used to obtain an improved tomographic image from raw data, processed data, or a preliminarily reconstructed intermediate image for biomedical imaging or any other imaging purpose. In certain cases, a single, conventional, non-deep-learning algorithm can be used on raw imaging data to obtain an initial image, and then a deep learning algorithm can be used on the initial image to obtain a final reconstructed image. All machine learning methods and systems for tomographic image reconstruction are covered, except for use of a single shallow network (three layers or less) for image reconstruction.


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