A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling
Systems biology has introduced new paradigms in science by switching from a reductionist point of view to a more integrative approach toward the study of systems. As researchers over the past years have produced an extraordinary wealth of knowledge on human physiology, we now aim at integrating this knowledge to decipher the intimate relationships between the different components and scales that form the delicate balance in physiological systems. Our aim is to study the heart.
KeywordsSarcomere Length Fiber Angle NURBS Surface Diffusion Tensor Magnetic Resonance Image Fiber Architecture
The authors acknowledge the support of NIH grants P41 RR08605, 1R01 HL96544, 1R01 HL086400, 1R01 HL091036, 1R01 HL083359, NSF grant BES-0506252, and UC Discovery grant it106-10159. ADM is a cofounder of Insilicomed, a licensee of UCSD software developed in this research. Insilicomed was not involved and did not support this research.
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