Cornell University

Kranthi Kumar Kolli

James K Min

Bobak Mosadegh

Simon Dunham

The present disclosure describes a system that can enable the prediction of coronary flow without invasive medical procedure. The system can generate physical models that can provide an accurate assessment of coronary mechanics and enable realistic simulation of coronary procedures. The models can enable the hemodynamic measurement of flow through the model and the study of flow dynamics through the model and the biomechanics of the model.

Assessment of coronary function via advanced 3D printed models

The present disclosure describes a system and a method for producing patient-specific small diameter vascular grafts (SDVG) for coronary artery bypass graft (CABG) surgery. In some embodiments, the method for producing SDVGs includes non-invasive quantification of patient-specific coronary and vascular physiology by applying computational fluid dynamics (CFD), rapid prototyping, and in vitro techniques to medical images and coupling the quantified patient-specific coronary and vascular physiology from the CFD to computational fluid-structure interactions and SDVG structural factors to design a patient-specific SDVG.

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New York, NY, United States of America

Kranthi Kumar Kolli