SIAM Annual Meeting
Boston, MA
July 10-14, 2006

Mini-Symposium on Mathematics for Brain Imaging

In the last few years, more and more mathematical knowledge has been introduced to brain imaging research. This two-section intensive symposium will focus on mathematical and computational techniques that can be applied to brain images to measure, map and model brain structure and function. Experts who are pioneers in medical image analysis and mathematicians will describe the mathematics and computational algorithms used in brain imaging today and emerging research directions. Talks will be of interest to newcomers and experts in computational biology.

Organizer: Yalin Wang
Universtiy of California, Los Angeles
Tony F. Chan
National Science Foundation
Shing-Tung Yau
Harvard University

Brain Mapping Techniques for Computer Aided Diagnosis and Follow Up

Stephen T. C. Wong, Brigham and Women's Hospital, Harvard Medical School

Conformal Cortical Cartography Using the Discrete Approach of Circle Packings

Monica K. Hurdal, Florida State University, Department of Mathematics

Computational Methods for Quantitative Analysis of the brain

Dingang Shen, Department of Radiology, University of Pennsylvania School of Medicine

Automatic Detection of Anatomical Features Using Brain Conformal Parametrization

Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson, UCLA

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Copyright 2006 by Monica K. Hurdal. All rights reserved.