Systems and methods for processing electronic images to predict lesions

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United States of America Patent

PATENT NO 11861831
APP PUB NO 20220230312A1
SERIAL NO

17713467

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Abstract

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Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

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Patent Owner(s)

  • HEARTFLOW, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Choi, Gilwoo Mountain View, US 99 2113
Grady, Leo Darien, US 286 2898
Taylor, Charles A Atherton, US 226 7344

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