Thursday, July 13

MS70
Mathematics for Brain Imaging - Part II of II

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

For Part I, see MS30

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 Surface Parameterization with Riemann Surface Structure

Shing-Tung Yau, Harvard University

4:30-4:55 Geometric Strategies for Neuroanatomic Analysis from MRI

James S. Duncan, Yale University

5:00-5:25 Quasiconformal Visuotopic Map Complexes in Human Brain: Methods and Motivations for Near-Isometric Brain Flattening

Eric L. Schwartz, Boston University

5:30-5:55 Diffeomorphic Metric Curve and Surface Matching

Marc Vaillant, Anqi Qiu, and Michael I. Miller, Johns Hopkins University