Large-Scale Simulation and Visualization in Medicine: Applications to Cardiology, Neuroscience, and MedicaL Imaging

Computational problems in medicine often require a researcher to apply diverse skills in confronting problems involving very large data sets, three-dimensional complex geometries which must be modeled and visualized, large scale computing, and hefty amounts of numerical analysis. In this talk I will present recent research results in computational neuroscience, imaging, and cardiology. I will provide examples of several driving applications of steering and interactive visualization in cardiology (defibrillation simulation and device design), neuroscience (new inverse source localization techniques), and imaging (new methods for interactive visualization of large-scale 3D MRI and CT volumes, and introduce new methods for diffusion tensor imaging).

Authors and Affiliations

1. Scientific Computing and Imaging Institute School of Computing Merrill Engineering Building, University of Utah, 50 South Campus Central Dr., Room 3490, Salt Lake City, Utah, 84112-9205

   Chris Johnson (Director)

Editors and Affiliations

1. School of Computer Science, Cybernetics and Electronic Engineering, University of Reading, Whiteknights, P.O. Box 225, Reading, RG6 6AY, UK

   Vassil N. Alexandrov

2. Innovative Computing Lab, Computer Science Department, University of Tennessee, 1122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

   Jack J. Dongarra

3. Computer Science Department, California State University, Chico, CA, 95929-0410, USA

   Benjoe A. Juliano  & René S. Renner  & 

4. School of Computer Science, The Queen’s University of Belfast, Belfast, BT7 1NN, Northern Ireland, UK

   C. J. Kenneth Tan

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