Heartflow, Inc.

Other

Intrinsic Medical Imaging, LLC

Zhongle Wu

Leo John Grady

Michiel Schaap

Timothy A Fonte

Souma Sengupta

Stanley C Hunley

Sophie Khem

James P Jacobs

Jorey Chernett

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

A method of assessing stenosis severity for a patient includes generating a three dimensional model of a lesion specific vessel tree of the patient. A plurality of inlet and outlet positions are identified in the lesion tree. A total flow rate from the vessel tree model is estimated. A processor and task specific software are utilized to perform computational fluid dynamic simulation on the vessel tree. A flow rate and apparent flow resistance for each of the outlets is then determined. At least one ideal model is generated. A computational fluid dynamic simulation is performed on the at least one ideal model. A level of stenosis severity is determined for each of the outlets.

Method for assessing stenosis severity in a lesion tree through stenosis mapping

A method of assessing stenosis severity for a patient includes obtaining patient information relevant to assessing severity of a stenosis, including anatomical imaging data of the patient. Based on the anatomical imaging data, the existence of any lesions of concerns may be identified. A three dimensional image can be generated of any irregular shaped lesion of concern and a surrounding area from the patient anatomical imaging data. A plurality of comparative two dimensional lesion specific models may be created that have conditions that correspond to the three dimensional model. The comparative two dimensional models may represent vessels having regular shaped lesions with each of the comparative two dimensional models represents a different stenosis severity. The three dimensional model can then be mapped to one of the plurality of comparative two dimensional models. After this mapping, a diagnosis of whether the patient has coronary artery disease may be made.

Method for assessing stenosis severity through stenosis mapping

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Troy, MI, United States of America

Zhongle Wu