Image-based biomedical computing and visualization

Increasingly, biomedical computing and visualization applications require building functional models from images (MRI, CT, EM, etc.). The ¿pipeline¿ for building such models includes image analysis (segmentation, registration, filtering), geometric modeling (surface and volume mesh generation), simulation (FE, FD, BE, linear and non-linear solves, etc.), visualization (scalars, vectors, tensors, etc) and evaluation (uncertainty, error, etc.). In this talk, I will present research challenges of image-based biomedical computing and visualization and discuss their application for solving important problems in neuro-science, cardiology, and genetics.