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The overall goal of this project is to develop a robust fluid-structure interaction framework using the DLM fictitious domain method that can simulate the hemodynamics of an active heart chamber. Other additions include incorporating fem stabilization and heat transfer. The framework is validated and will be used to study cardiovascular diseases. 
The overall goal of this project is to develop a 3D patient specific computational framework in FEniCS to simulate cryoballoon ablation. The model is validated, and the same framework is used to analyze the hemodynamics and temperature distribution in the left atrium during surgery. Different leakage positions of the cryoballoon are simulated to investigate the lesion formation and heat transfer rates across the cryoballoon. Analysis of a patient specific mitral regurgitation case is also considered
Hypertrophic cardiomyopathy (HCM) is a genetic heart disease that is associated with sudden cardiac death. Myofiber disarray is a key feature of HCM but it is not clear how much it affects the heart function. To resolve this issue, we are developing patient specific computational heart model to investigate the effects of myofiber disarray and the heterogeneity of regional wall thickness on left ventricular function in HCM. 
The overall goal of this project is to develop computational modeling frameworks that couple systemic circulation of the left ventricular and coronary perfusion with flow regulation mechanisms to investigate myocardial demand-supply 1) under graded exercise conditions; 2) in transmural locations across the heart wall; for health and patients with cardiovascular diseases. Research findings from this project can 1) overcome some limitations in pure experimental/clinical studies as demand is a virtual parameter that cannot be measured; 2) elucidate the effects of left ventricular geometry and mechanics on demand-supply mismatch transmurally; 3) understand the mechanisms of some clinical observations.
The overall goal of this project is to develop a biventricular finite element computational model to investigate the factors affecting interventricular interactions in the heart with the implantation of a left ventricular assist device. Completion of this project will provide insights into interventricular interactions in the LVAD recipients.
The overall goal of this project is to develop an experimentally validated, subject-specific cardiac electromechanics-coronary perfusion computational model to optimize CRT responses to mechanical dyssynchrony without/with ischemia. Research findings from this project are translational and can serve as a foundation for future development of patient-specific methodologies to optimize CRT pacing locations, improving the responder rate.
This project is to develop a novel computational framework that couples the heart ventricles and coronary blood vessels with the consideration of flow regulation mechanisms and oxygen diffusion
Funding source: NSF (1933768) Collaborators: Sara Roccabianca and Marcos Dantos (MSU)
Funding source: NSF (1702987) Collaborators: Tony Gao (MSU)