Seminars/Colloquia/Invited Talks

Seminars

Allen Tannenbaum

Stochastic and PDE Methods in Medical Imaging

PLACE:	Clark 314
EVENT:	CIS Seminar Series
DATE:	October 25, 2005
TIME:	1:00 - 2:00

Abstract

In this talk, we will decribe some recent work in using partial differential equation and stochastic methods to treat problems in medical imaging including segmentation, registration, and visualization.
We will first survey optimal transport methods for registration and visualization. We will then describe some basic geometric flows for image segmentation and enhancement. Finally, we will give a novel stocahstic interpretation of these flows which offer an alternative to level set methods.
All of the the results will be illustrated with medical data, and the level of the talk will be directed to the widest possible audience.

Brief biography

Allen Tannenbaum is a faculty member in the Departments of Electrical & Computer and Biomedical Engineering at the Georgia Institute of Technology. His research interests are in computer vision, controlled active vision, image processing and medical imaging.