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

2. 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.

3. 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

4. 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?

5. THANK YOU