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, 2007

Filed:

Jan. 30, 2004
Applicants:

Hidetaka Arimura, Clarendon Hills, IL (US);

Feng LI, Clarendon Hills, IL (US);

Junji Shiraishi, Westmont, IL (US);

Kunio Doi, Willowbrook, IL (US);

Inventors:

Hidetaka Arimura, Clarendon Hills, IL (US);

Feng Li, Clarendon Hills, IL (US);

Junji Shiraishi, Westmont, IL (US);

Kunio Doi, Willowbrook, IL (US);

Assignee:

University of Chicago, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G21K 1/12 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.


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