Image-Based Biomedical Modeling, Simulation and Visualization

Chris Johnson
Scientific Computing and Imaging Institute, University of Utah

(May 3, 2010 2:30 PM - 3:30 PM)

Image-Based Biomedical Modeling, Simulation and Visualization

Abstract

Increasingly, biomedical researchers need to build 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.).

I will present research challenges and software tools for image-based biomedical modeling, simulation and visualization and discuss their application for solving important research and clinical problems in neuroscience, cardiology, and genetics.