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:
Apr. 26, 2022

Filed:

Mar. 19, 2020
Applicant:

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

Inventors:

Brian A. Hargreaves, Menlo Park, CA (US);

Yuxin Hu, Stanford, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/563 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); G01R 33/56 (2006.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G01R 33/56341 (2013.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); G01R 33/5608 (2013.01); G06T 5/50 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10092 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30016 (2013.01);
Abstract

A diffusion-weighted magnetic resonance imaging (MRI) method acquires MRI scan data from a multi-direction, multi-shot, diffusion-weighted MRI scan, and jointly reconstructs from the MRI scan data 1) magnitude images for multiple diffusion-encoding directions and 2) phase images for multiple shots and multiple diffusion-encoding directions using an iterative reconstruction method. Each iteration of the iterative reconstruction method comprises a gradient calculation, a phase update to update the phase images, and a magnitude update to update the magnitude images. Each iteration minimizes a cost function comprising a locally low-rank (LLR) regularization constraint on the magnitude images from the multiple diffusion-encoding directions.


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