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:
Aug. 15, 2023

Filed:

Aug. 17, 2021
Applicant:

Rensselaer Polytechnic Institute, Troy, NY (US);

Inventors:

Ge Wang, Loudonville, NY (US);

Lars Arne Gjesteby, Cohasset, MA (US);

Hongming Shan, Troy, NY (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/20 (2017.01); G06T 7/00 (2017.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06T 5/002 (2013.01); G06T 5/005 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30052 (2013.01);
Abstract

Training a CNN with pseudo ground truth for CT artifact reduction is described. An estimated ground truth apparatus is configured to generate an estimated ground truth image based, at least in part, on an initial CT image that includes an artifact. Feature addition circuitry is configured to add a respective feature to each of a number, N, copies of the estimated ground truth image to create the number, N, initial training images. A computed tomography (CT) simulation circuitry is configured to generate a plurality of simulated training CT images based, at least in part, on at least some of the N initial training images. An artifact reduction circuitry is configured to generate a plurality of input training CT images based, at least in part, on the simulated training CT images. A CNN training circuitry is configured to train the CNN based, at least in part, on the input training CT images and based, at least in part, on the initial training images.


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