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. 25, 2023

Filed:

Jan. 03, 2020
Applicant:

Regents of the University of Minnesota, Minneapolis, MN (US);

Inventors:

Ethan Yize Leng, Minneapolis, MN (US);

David Henry Porter, Plymouth, MN (US);

Gregory John Metzger, Lake Elmo, MN (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 3/00 (2006.01); A61B 5/00 (2006.01); G06T 3/00 (2006.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G16H 50/20 (2018.01); G16H 30/20 (2018.01); G01R 33/565 (2006.01); G01R 33/56 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4381 (2013.01); A61B 5/055 (2013.01); A61B 5/7275 (2013.01); G01R 33/5608 (2013.01); G01R 33/5659 (2013.01); G06T 3/0075 (2013.01); G06T 7/0012 (2013.01); G06T 7/62 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/30081 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.


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