Heartflow, Inc.

General Electric Company

Ge Medical Systems Global Technology Company, LLC

Souma Sengupta

Leo John Grady

Timothy A Fonte

Michiel Schaap

Zhongle Wu

Stanley C Hunley

Vivek Naresh Bhatia

Charles Anthony Taylor, Jr

Sethuraman Sankaran

Hyun Jin Kim

Nan Xiao

Sanjay Kumar Jha

Sophie Khem

Brian Patrick Smyth

Samit Kumar Basu

Bruno Kristiaan Bernard De Man

Daniel David Harrison

Scott David Wollenweber

Erik Chell

Zhye Yin

Deborah Joy Walter

Rahul Bhotika

Paulo Ricardo Dos Santos Mendonca

Maria Iatrou

Bipul Das

Andras Kriston

Laszlo Rusko

Kosuke Sasaki

Peter Claudius Sanza

Ferenc Kovacs

Masayuki Kudo

Paul Magnuson

Peter Alexander John Lamb

Sripriya Varadharajan

Leo J Grady

Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes: receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patient's vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

Systems and methods for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements

Systems and methods are disclosed for identifying image acquisition parameters. One method includes receiving a patient data set including one or more reconstructions, one or more preliminary scans or patient information, and one or more acquisition parameters; computing one or more patient characteristics based on one or both of one or more preliminary scans and the patient information; computing one or more image characteristics associated with the one or more reconstructions; grouping the patient data set with one or more other patient data sets using the one or more patient characteristics; and identifying one or more image acquisition parameters suitable for the patient data set using the one or more image characteristics, the grouping of the patient data set with one or more other patient data sets, or a combination thereof.

Systems and methods for predicting image quality scores of images

Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.

Methods and systems for assessing image quality in modeling of patient anatomic or blood flow characteristics

Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes: receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patients vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

Systems and methods for predicting image quality scores of images by medical imaging scanners

Systems and methods for predicting image quality for various data acquisition device(s)

Systems and methods for identifying medical image acquisition parameters

Growing community of inventors

Cupertino, CA, United States of America

Souma Sengupta