Patent ID: 11861831
Assignee: HEARTFLOW, INC.
Field: Medical technology (Instruments)
Classification: CPC G  A  Y | IPC A  G

Claim 16:
17. A method for analyzing medical imaging data to assess a risk of coronary artery disease, comprising:
a) obtaining an image dataset comprising at least a portion of a heart of a patient;
b) segmenting at least a portion of a myocardium of the heart from image dataset of a);
c) determining at least one geometrical feature of an inner vessel wall of at least one blood vessel surrounding the myocardium of the heart;
d) determining a value of at least one hemodynamic parameter based on the least one geometrical feature of c);
e) determining data segments characterizing the myocardium of the heart of b);
f) generating feature vectors related to the data segments of e) based on myocardial voxels and data that characterize the myocardium of the heart;
g) classifying the data segments of e) by:
training a machine-learning classification model using training data regarding a presence or onset of plaque for various training data segments characterizing the myocardium of the heart of one or more individuals and (ii) associated training feature vectors generated based on the training data segments, such that the trained machine-learning model is trained to generate a respective patient-specific estimate of the presence or onset of plaque for each data segment in response to an input of a corresponding one of the feature vectors; and
for each of the data segments, inputting the corresponding one of the feature vectors of f) into the trained machine-learning classification model, such that the trained machine-learning model generates a respective patient-specific estimate of the presence or onset of plaque; and

h) providing, as an output, at least one of the respective patient-specific estimate of the presence or onset of plaque for the patient based on the classifying of g).