Computational Cardiovascular Modeling

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Presentation transcript:

Computational Cardiovascular Modeling Lik Chuan Lee Assistant Professor Mechanical Engineering Michigan State University

Computational cardiovascular modeling Understand the mechanism(s) of heart diseases and physiology Test hypotheses (inexpensive, compared to animal experiments) Analyze / optimize treatments. Quantify potential biomarker (stress) that cannot be measured in vivo.

Scientific & Technical Challenges Complexity of the multi-physics and their interactions involved organ to cellular physiology and diseases Sparsity of data from human Multiple temporal / spatial scale In vivo vs. ex vivo (Are they the same?) Lengthy computation time limits deployment of computer model for time-critical clinical applications e.g. surgery

Specific Research Focus Areas Short-term physics Electro-mechanics (S.T. Wall, Simula) Integration with system physiology (D. Burkhoff, CRF) Incorporating FSI (T. Gao, MSU) Long-term physics Integration with short-term physics Cell – ECM long-term interactions (S. Roccabianca & S.W. Watts, MSU) Diseases & treatments Adult PH (S. Baek, MSU; L. Zhong et al., NHCS) Pediatric PH (S. Baek, MSU; Figueroa et al., UoM) LBBB + CRT (G.S. Kassab, CalMI2) LVAD for HF Treatment?

THANK YOU