Tuesday, May 16

MS26
Mathematical Methods and Tools for Volumetric Brain Segmentation - Part II of II

4:35 PM - 6:35 PM
Room: University Ballroom C

For Part I, see MS18

Segmenting grey/white boundaries in MR brain images. Image segmentation on surfaces using conformal mapping. Shape-based recognition of deep brain structures.

Organizer: Ivo D. Dinov
University of California, Los Angeles
Daniel J. Valentino
University of California, San Diego
David Shattuck
University of California, San Diego

4:35-5:00 Image Segmentation on Riemann Surfaces Using the Conformal Mapping and its Application to the Automatic Landmark Tracking

Lok Ming Lui and Yalin Wang, University of California, Los Angeles; Tony F. Chan, National Science Foundation

5:05-5:30 Anatomical Structure Parsing for Brain Imaging

Zhuowen Tu, Song-Feng Zheng, Alan Yuille, Ivo D. Dinov, and Arthur Toga, University of California, Los Angeles

5:35-6:00 Segmentation And Quantitative Evaluation Of Brain MRI Data With Multiphase Three-Dimensional Implicit Deformable Models

Elsa Angelini, Ecole Nationale Superieure des Telecommunications, France; Ting Song, Brett Mensh, and Andrew Laine, Columbia University

6:05-6:30 Image Segmentation Using a Multilayer Level Set Approach with Application to MRI data

Jason Chung and Luminita A. Vese, University of California, Los Angeles