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. 16, 2021

Filed:

Oct. 02, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Christopher Judson Hardy, Schenectady, NY (US);

Itzik Malkiel, Herzliya, IL;

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/561 (2006.01); G01R 33/56 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G01R 33/5611 (2013.01); G01R 33/5608 (2013.01); G06T 7/0012 (2013.01);
Abstract

A method is provided that includes acquiring coil data from a magnetic resonance imaging device. The coil data includes undersampled k-space data. The method includes processing the coil data using an image reconstruction technique to generate an initial undersampled image. The method includes generating a reconstructed image based on the coil data, the initial undersampled image, and multiple iterative blocks of a residual deep-learning image reconstruction network. A first iterative block of the residual deep-learning image reconstruction network receives the initial undersampled image. Each of the multiple iterative blocks includes a data-consistency unit that preserves the fidelity of the coil data in a respective output of a respective iterative block utilizing zeroed data consistency. The initial undersampled image is added to an output of the last iterative block via a residual connection. The residual deep-learning image reconstruction network is a neural network trained using previously acquired coil data.


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