Abstract
Image-based computational models have been used by many researchers to quantify mechanical stress/strain conditions and flow wall shear stress and try to use them to understand mechanisms governing vulnerable plaque progression and rupture processes. In this chapter, we will focus on human coronary plaque modeling efforts based on in vivo imaging data, including image preparation, 3D reconstruction, residual stress, vessel zero-load geometry, in vivo vessel material properties, plaque progression prediction, and plaque vulnerability change prediction based on patient follow-up data. Imaging and modeling limitations and challenges will also be discussed.
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