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:
Aug. 05, 2025

Filed:

Oct. 27, 2023
Applicants:

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

The United States Government As Represented BY the Department of Veteran Affairs, Washington, DC (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Nathaniel Braman, Bethel Park, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 5/08 (2006.01); G06T 7/00 (2017.01); G06T 7/12 (2017.01);
U.S. Cl.
CPC ...
A61B 5/02007 (2013.01); A61B 5/0035 (2013.01); A61B 5/004 (2013.01); A61B 5/08 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06T 7/0012 (2013.01); G06T 7/12 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract

The present disclosure relates to a method. The method may be performed by accessing data derived from one or more routine clinical medical imaging scans including a lesion in which the lesion and associated vasculature are segmented in a three-dimensional segmentation. At least two features are extracted from the three-dimensional segmentation of the associated vasculature. The at least two features include at least one feature indicative of a morphology of the associated vasculature or a portion thereof, and at least one feature indicative of a function of the associated vasculature or a portion thereof. The at least two features, and/or one or more statistics of the at least two features, are provided to a machine learning model trained to make a prediction concerning the lesion. The prediction concerning the lesion is received from the machine learning model.


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