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. 01, 2019

Filed:

Jul. 07, 2015
Applicant:

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

Inventors:

Clark Chen, La Jolla, CA (US);

Tyler Steed, San Diego, CA (US);

Bob S. Carter, San Diego, CA (US);

Anders M. Dale, La Jolla, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06K 9/62 (2006.01); G01R 33/56 (2006.01); G06T 7/00 (2017.01); G06T 7/187 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6276 (2013.01); G01R 33/5608 (2013.01); G06K 9/6254 (2013.01); G06K 9/6277 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G06K 2209/05 (2013.01); G06K 2209/051 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.


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