The Johns Hopkins University

Rajat Mittal

Jung Hee Seo

Albert Clark Lardo

Christopher Guy Williams

Richard T George

Rui Ni

A Flettner rotor that employs localized suction over its surface improves performance and fuel efficiency. Simulations and analysis show that such a method can significantly improve the performance of the Flettner rotor. Improvements in rotor performance enable reduction in fuel costs and greenhouse gas emission by ships or other modes of transport. Improvements in rotor performance can also reduce noise for applications such as drones or other devices having rotors.

Flettner rotor with localized suction

The present invention provides a method for determining thromboembolic risk in a patient. The method includes processing functional images of a patient's heart in order to create a computational fluid dynamic (CFD) modeling of the patient's heart. Once a CFD model is obtained, various metrics can be determined to estimate the patient's risk of left ventricular thrombosis. This method is particularly suited for determining thromboembolic risk in patients having suffered a myocardial infarction. However, the method can also be applied to a broader population at risk of cardioembolic and cryptogenic stroke.

Computational flow dynamics based method for estimating thromboembolic risk in patients with myocardial infarction

An embodiment in accordance with the present invention provides a method for non-invasively determining the functional severity of coronary artery stenosis. The method includes gathering patient-specific data related to concentration of a contrast agent within a coronary artery of a patient using a coronary computed tomography angiography scan (CCTA). The patient-specific data is used to calculate a patient-specific transluminal attenuation gradient for the coronary artery of the patient. The patient specific transluminal attenuation gradient is used to determine an estimate of a coronary flow velocity, pressure gradient, loss coefficient, coronary flow reserve, and/or fractional flow reserve for the patient. Coronary flow velocity, pressure gradient, loss coefficient, coronary flow reserve, and fractional flow reserve can then be used to estimate the functional severity of coronary artery stenosis.

Method for estimating flow rates, pressure gradients, coronary flow reserve, and fractional flow reserve from patient specific computed tomography angiogram-based contrast distribution data

An embodiment in accordance with the present invention provides a method for non-invasively determining the functional severity of arterial stenosis in a selected portion of an arterial network. The method includes gathering patient-specific data related to concentration of a contrast agent within an arterial network using a coronary computed tomography angiography scan (CCTA). The data can be gathered under rest or stress conditions. Estimation of a loss coefficient (K) can be used to eliminate the need for data gathered under stress. The data is used to calculate a transluminal attenuation gradient (TAG). The data may be corrected for imaging artifacts at any stage of the analysis. TAFE is used to determine an estimate of flow velocity. Once velocity is determined, pressure gradient, coronary flow reserve, and/or fractional flow reserve can be determined through a variety of methods. These estimates can be used to estimate functional severity of stenosis.

Method for estimating flow rates and pressure gradients in arterial networks from patient specific computed tomography angiogram-based contrast distribution data

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Vienna, VA, United States of America

Rajat Mittal