The Ohio State University

Georgia Tech Research Corporation

Amirsepehr Azimian

Lakshmi Prasad Dasi

Ajit P Yoganathan

Vinod Thourani

Hoda Hatoum

Shelly Singh-Gryzbon

Methods for determining likelihood of thrombosis based on patient-specific anatomic, valve, and flow parameters are disclosed herein. Such methods are used to select a transcatheter aortic valve that decreases likelihood of thrombosis after TAVR procedures. The methods correlate a number of fluid flow and geometric parameters such as stasis volume, neo-sinus volume, kinematic viscosity, dynamic viscosity, heart rate, the circulation, ejection time, velocity of the main jet, wall shear stress, total kinetic energy in the neo sinus volume, width of the neo-sinus, height or depth of the neo-sinus, the angle between the velocity direction and the stent of the transcatheter valve, the distance from the tip of the leaflet perpendicular to the leaflet edge and intersecting the sinotubular junction, and the cross-sectional area of the neo-sinus taken from a longitudinal or axial perspective. Such parameters are used to derive empirical or semi-empirical mathematical models to determine the likelihood of thrombosis.

Systems and methods for predicting thrombosis for heart valve replacements

Systems and methods are described herein for predictive heart valve simulation. The systems and methods described herein can include segmenting anatomical region of a heart of a patient from image data characterizing the heart of the patient. Anatomical model data that can include three-dimensional shapes of the anatomical regions of the heart can be generated based on the image data. The anatomical model data can be used to generate anatomical model data. The analytical model data can include a three-dimensional mesh of the anatomical regions of the heart. A deformed analytical model that can be indicative of a deformed position of the anatomical regions of the heart and a deformed position of the surgical object can be generated based on the analytical model data.

Systems and methods for predictive heart valve simulation

Growing community of inventors

Columbus, OH, United States of America

Amirsepehr Azimian