Tuesday, July 11

MS30
Mathematics for Brain Imaging - Part I of II

4:00 PM - 6:00 PM
Room: Imperial Ballroom - ML

For Part II, see MS70

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
University of California, Los Angeles
Tony F. Chan
National Science Foundation
Shing-Tung Yau
Harvard University

4:00-4:25 Brain Mapping Techniques for Computer Aided Diagnosis and Follow Up

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

4:30-4:55 Conformal Cortical Cartography Using the Discrete Approach of Circle Packings

Monica K. Hurdal, Florida State University

5:00-5:25 Computational Methods for Quantitative Analysis of the brain

Dinggang Shen, University of Pennsylvania

5:30-5:55 Automatic Detection of Anatomical Features Using Brain Conformal Parametrization

Lok Ming Lui, Yalin Wang, Tony F. Chan, and Paul M. Thompson, University of California, Los Angeles