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:
Oct. 18, 2022

Filed:

Jun. 19, 2020
Applicant:

The Cleveland Clinic Foundation, Cleveland, OH (US);

Inventors:

Paul Schoenhagen, Cleveland, OH (US);

Po-Hao Chen, Cleveland, OH (US);

David Piraino, Cleveland, OH (US);

Nancy Obuchowski, Cleveland, OH (US);

Assignee:

THE CLEVELAND CLINIC FOUNDATION, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/12 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/12 (2013.01); A61B 6/469 (2013.01); G06V 10/40 (2022.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/30004 (2013.01);
Abstract

Systems and methods are provided for automated identification of acute aortic syndromes in computed tomography images. A region of interest in a chest of a patient is imaged via a computed tomography (CT) scanner to provide images at a plurality of locations. The region of interest includes one of an ascending aorta, an aortic arch, and a descending aorta of the patient. For each of the plurality of locations within the region of interest, a value representing a variation in radiodensity values within the location is determined from the image to provide a set of variation values. A parameter representing a likelihood that the patient is experiencing an acute aortic syndrome is determined via a derived model from the set of variation values. The parameter representing the likelihood that the patient is experiencing the acute aortic syndrome is provided to a user at an associated output device.


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