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:
Dec. 04, 2018

Filed:

Dec. 08, 2014
Applicant:

The Johns Hopkins University, Baltimore, MD (US);

Inventors:

Michael I. Miller, Pikesville, MD (US);

Susumu Mori, Ellicott City, MD (US);

Kenichi Oishi, Lutherville-Timonium, MD (US);

Assignee:

THE JOHNS HOPKINS UNIVERSITY, Baltimore, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); A61B 8/00 (2006.01); G06T 7/33 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 5/0037 (2013.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); A61B 8/00 (2013.01); G06T 7/11 (2017.01); G06T 7/337 (2017.01); A61B 2576/026 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30016 (2013.01);
Abstract

Computer systems, computer-implemented methods, and non-transitory computer readable storage media for gross feature recognition including receiving an image comprising a plurality of image elements representing the region of interest of the subject. Gross feature recognition can further include co-registering the image to an atlas to segment the plurality of image elements into a plurality of sub-regions corresponding to structures in the atlas, where the structures in the atlas are ordered in a first rank order according to a predetermined feature. Further included can be ordering the plurality of sub-regions in a second rank order according to the predetermined feature. Further included can be identifying as gross features one or more of the plurality of sub-regions whose positions in the first rank order of the ordered sub-regions differ from positions in the second rank order of the corresponding ordered structures in the atlas.


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