Heartflow, Inc.

Jin Kim

Leo John Grady

Charles Anthony Taylor, Jr

Sethuraman Sankaran

Nan Xiao

David Spain

Travis Michael Sanders

Michael Singer

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Systems and methods for estimation of blood flow characteristics using reduced order model and/or machine learning

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

A system for noninvasively determining at least one physiological characteristic of a patient may include at least one computer system configured to, using a three-dimensional surface mesh model created using patient-specific imaging data, create a three-dimensional combined surface and volume mesh model, including at least a first model portion that has a different spatial resolution than at least a second model portion. The computer system may be further configured to input the three-dimensional surface and volume mesh model into a fluid simulation system and determine a measurement of the physiological characteristic, using the fluid simulation system.

Method and system for facilitating physiological computations

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Daly City, CA, United States of America

Jin Kim