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. 05, 2019

Filed:

Oct. 04, 2018
Applicant:

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

Inventors:

Greg Zaharchuk, Stanford, CA (US);

Enhao Gong, Sunnyvale, CA (US);

John M. Pauly, Stanford, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/60 (2006.01); G06T 5/00 (2006.01); G06T 5/20 (2006.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 3/60 (2013.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 5/50 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20182 (2013.01);
Abstract

A method of improving diagnostic and functional imaging is provided by obtaining at least two input images of a subject, using a medical imager, where each input image includes a different contrast, generating a plurality of copies of the input images using non-local mean (NLM) filtering, using an appropriately programmed computer, where each input image copy of the subject includes different spatial characteristics, obtaining at least one reference image of the subject, using the medical imager, where the reference image includes imaging characteristics that are different form the input images of the subject, training a deep network model, using data augmentation on the appropriately programmed computer, to adaptively tune model parameters to approximate the reference image from an initial set of the input and reference images, with the goal of outputting an improved quality image of other sets of low SNR low resolution images, for analysis by a physician.


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