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:
Nov. 21, 2017

Filed:

Dec. 31, 2015
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Jiajia Luo, Schenectady, NY (US);

Bruno Kristiaan Bernard De Man, Clifton Park, NY (US);

Ali Can, Niskayuna, NY (US);

Eri Haneda, Clifton Park, NY (US);

Assignee:

General Electric Company, Niskayuna, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 11/00 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 11/006 (2013.01); G06K 9/6255 (2013.01); G06K 9/6256 (2013.01); G06T 11/008 (2013.01); G06T 2210/41 (2013.01); G06T 2211/421 (2013.01); G06T 2211/424 (2013.01);
Abstract

A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.


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