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:
Feb. 26, 2019

Filed:

Dec. 16, 2015
Applicant:

The United States of America, As Represented BY the Secretary, Department of Health and Human Services, Washington, DC (US);

Inventors:

Jin Tae Kwak, Rockville, MD (US);

Bradford J. Wood, Potomac, MD (US);

Sheng Xu, Rockville, MD (US);

Baris Turkbey, Rockville, MD (US);

Peter L. Choyke, Rockville, MD (US);

Peter A. Pinto, Bethesda, MD (US);

Ronald M. Summers, Potomac, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/00 (2006.01); G01R 33/563 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); G01R 33/56 (2006.01); G01R 33/465 (2006.01); G06T 7/00 (2017.01); G06T 7/41 (2017.01);
U.S. Cl.
CPC ...
G01R 33/56341 (2013.01); A61B 5/055 (2013.01); A61B 5/4381 (2013.01); G01R 33/465 (2013.01); G01R 33/5602 (2013.01); G06T 7/0012 (2013.01); G06T 7/41 (2017.01); G06T 2207/10088 (2013.01); G06T 2207/10092 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30081 (2013.01);
Abstract

Methods and systems for diagnosing cancer in the prostate and other organs are disclosed. Exemplary methods comprises extracting texture information from MRI imaging data for a target organ, sometimes using two or more different imaging modalities. Texture features are determined that are indicative of cancer by identifying frequent texture patterns. A classification model is generated based on the determined texture features that are indicative of cancer, and diagnostic cancer prediction information for the target organ is then generated to help diagnose cancer in the organ.


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