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:
Sep. 21, 2021

Filed:

Mar. 22, 2019
Applicant:

Canon Medical Systems Corporation, Otawara, JP;

Inventor:

Anuj Sharma, Vernon Hills, IL (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/561 (2006.01); G01R 33/565 (2006.01); G06N 20/20 (2019.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5611 (2013.01); G01R 33/565 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/20 (2019.01);
Abstract

A deep learning (DL) network is proposed to mitigate artifacts in simultaneous multi-slice (SMS) magnetic resonance imaging (MRI) data. For example, unaliased images generated from SMS aliased images can exhibit leakage artifacts due to inaccuracies in the receive-coil sensitives used during sensitivity encoding (SENSE) processing. To mitigate leakage artifacts, the DL network learns to correct the receive-coil sensitives before SENSE processing, and/or learns to detect and subtract the artifacts from the unaliased images after SENSE processing. The DL network can also be trained to denoise the unaliased images.


Find Patent Forward Citations

Sharma, Anuj. (2021). Apparatus and method for deep learning to mitigate artifacts arising in simultaneous multi slice (sms) magnetic resonance imaging (mri) (U.S. Patent No. 11125845). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11125845

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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