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:
May. 27, 2008

Filed:

Oct. 16, 2002
Applicants:

Hiroyuki Yoshida, Chicago, IL (US);

Abraham Dachman, Chicago, IL (US);

Janne Nappi, Chicago, IL (US);

Peter Maceneaney, Chicago, IL (US);

David Rubin, Chicago, IL (US);

Yoshitaka Masutani, Tokyo, JP;

LI Lan, Naperville, IL (US);

Inventors:

Hiroyuki Yoshida, Chicago, IL (US);

Abraham Dachman, Chicago, IL (US);

Janne Nappi, Chicago, IL (US);

Peter Maceneaney, Chicago, IL (US);

David Rubin, Chicago, IL (US);

Yoshitaka Masutani, Tokyo, JP;

Li Lan, Naperville, IL (US);

Assignee:

University of Chicago, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.


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