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:
Nov. 12, 2019

Filed:

Jul. 24, 2018
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Mahdi Orooji, Cleveland, OH (US);

Mirabela Rusu, Cleveland, OH (US);

Philip Linden, Pepper Pike, OH (US);

Robert Gilkeson, Cleveland Heights, OH (US);

Nathaniel Mason Braman, Cleveland, OH (US);

Mehdi Alilou, Cleveland, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 11/00 (2006.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01); A61B 6/03 (2006.01); A61B 5/08 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 10/00 (2006.01); G01R 33/56 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/40 (2017.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/62 (2017.01); A61B 34/10 (2016.01); A61B 6/12 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5217 (2013.01); A61B 5/055 (2013.01); A61B 5/08 (2013.01); A61B 5/4312 (2013.01); A61B 5/7267 (2013.01); A61B 6/032 (2013.01); A61B 10/0041 (2013.01); G01R 33/5601 (2013.01); G06K 9/00147 (2013.01); G06K 9/46 (2013.01); G06K 9/4604 (2013.01); G06K 9/6267 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); G06T 11/003 (2013.01); G06T 11/008 (2013.01); A61B 6/12 (2013.01); A61B 2034/105 (2016.02); G01R 33/5608 (2013.01); G06K 9/00 (2013.01); G06K 9/6269 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10096 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30101 (2013.01); G06T 2211/404 (2013.01);
Abstract

Embodiments associated with classifying a region of tissue using features extracted from nodules and surrounding structures. One example apparatus includes a feature extraction circuit configured to automatically extract a first set of quantitative features from a nodule represented in at least one CT image, and automatically extract a second set of quantitative features from the lung parenchyma region immediately surrounding the nodule represented in the at least one CT image; a feature selection circuit configured to select an optimally predictive feature set from the first set of quantitative features and the second set of quantitative features; and a training circuit configured to train a classifier using the optimally predictive feature set to assign malignancy risk to a lung nodule represented in a CT image of a region of tissue demonstrating lung nodules. A prognosis or treatment plan may be provided based on the malignancy risk.


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