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:
Jun. 01, 2021

Filed:

Dec. 15, 2016
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Corey Arnold, Oakland, CA (US);

King Chung Ho, Oakland, CA (US);

Fabien Scalzo, Oakland, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 3/04 (2006.01); A61B 5/026 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0263 (2013.01); G06N 3/049 (2013.01); G06N 5/046 (2013.01); G06K 2209/05 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10096 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30104 (2013.01);
Abstract

Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance ('MR') imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional ('4D') convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.


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