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:
Jul. 13, 2021

Filed:

Oct. 16, 2019
Applicant:

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

Inventors:

David Y. Zeng, San Francisco, CA (US);

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

Joseph Yitan Cheng, Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 11/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); A61B 5/055 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
G06T 11/006 (2013.01); A61B 5/055 (2013.01); G01R 33/5608 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A magnetic resonance imaging scan performs an MRI acquisition using an undersampling pattern to produce undersampled k-space data; adds the undersampled k-space data to aggregate undersampled k-space data for the scan; reconstructs an image from the aggregate undersampled k-space data; updates the undersampling pattern from the reconstructed image and aggregate undersampled k-space data using a deep reinforcement learning technique defined by an environment, reward, and agent, where the environment comprises an MRI reconstruction technique, where the reward comprises an image quality metric, and where the agent comprises a deep convolutional neural network and fully connected layers; and repeats these steps to produce a final reconstructed MRI image for the scan.


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