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:
Jan. 07, 2020

Filed:

Aug. 01, 2018
Applicant:

The Board of Trustees of the Leland Stanford Junior University, Palo Alto, CA (US);

Inventors:

Joseph Y. Cheng, Los Altos, CA (US);

Shreyas S. Vasanawala, Stanford, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 33/561 (2006.01); G01R 33/56 (2006.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5612 (2013.01); G01R 33/5608 (2013.01); G06N 3/088 (2013.01); G06N 5/046 (2013.01);
Abstract

An MRI apparatus performs multi-channel calibration acquisitions using a multi-channel receiver array and uses a convolutional neural network (CNN) to compute an estimated profile map that characterizes properties of the multi-channel receiver array. The profile map is composed of orthogonal vectors and transforms single-channel image space data to multi-channel image space data. The MRI apparatus performs a prospectively subsampled imaging acquisition and processes the resulting k-space data using the estimated profile map to reconstruct a final image. The CNN may be pretrained in an unsupervised manner using subsampled simulated multi-channel calibration acquisitions and using a regularization function included in a training loss function.


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