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:
Feb. 28, 2023

Filed:

Mar. 06, 2019
Applicant:

Rensselaer Polytechnic Institute, Troy, NY (US);

Inventors:

Ge Wang, Loudonville, NY (US);

Lars Arne Gjesteby, Cohasset, MA (US);

Qingsong Yang, Troy, NY (US);

Hongming Shan, Troy, NY (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 6/03 (2006.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06T 11/00 (2006.01); G06T 7/00 (2017.01); G06N 3/084 (2023.01); G06N 5/046 (2023.01);
U.S. Cl.
CPC ...
A61B 6/5258 (2013.01); A61B 6/032 (2013.01); A61B 6/5205 (2013.01); G06N 3/084 (2013.01); G06N 5/046 (2013.01); G06T 7/0012 (2013.01); G06T 11/008 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes generating, by a projection completion circuitry, an intermediate CT image data based, at least in part, on input CT projection data. The intermediate CT image data is configured to include relatively fewer artifacts than an uncorrected CT image reconstructed from the input CT projection data. The method further includes generating, by an artificial neural network (ANN), CT output image data based, at least in part, on the intermediate CT image data. The CT output image data is configured to include relatively fewer artifacts compared to the intermediate CT image data. The method may further include generating, by detail image circuitry, detail CT image data based, at least in part, on input CT image data. The CT output image data is generated based, at least in part, on the detail CT image data.


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