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:
Jun. 01, 2021

Filed:

Feb. 06, 2017
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Viorel Mihalef, North Brunswick, NJ (US);

Puneet Sharma, Pheasant Run, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 10/60 (2018.01); G16H 50/50 (2018.01); G06T 7/12 (2017.01); G06T 7/149 (2017.01); G16H 30/20 (2018.01); G06F 17/11 (2006.01); G06N 7/00 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 17/11 (2013.01); G06T 7/12 (2017.01); G06T 7/149 (2017.01); G16H 30/20 (2018.01); G16H 50/50 (2018.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01);
Abstract

A system and method for medical image based patient-specific ischemic stroke risk prediction is disclosed. Left atrium (LA) and left atrium appendage (LAA) measurements are extracted from medical image data of a patient. Derived metrics for the LA and LAA of the patient are computed using a patient-specific computational model of cardiac function based on the LA and LAA measurements extracted from the medical image data of the patient. A stroke risk score for the patient is calculated based on the extracted LA and LAA measurements and the computed derived metrics for the LA and LAA of the patient using a trained machine learning based classifier, which inputs the extracted LA and LAA measurements and the computed derived metrics for the LA and LAA as features.


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