Department of Computer Science at UH

University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Doctor of Philosophy

Yan Zhou

Will defend his dissertation

Deformable Collaborative Tracking Across Imaging Modalities


This dissertation describes a computational method that accurately tracks the image of tissue undergoing non-rigid deformations as it moves. It involves multiple particle filter trackers that work together in a collaborative way. Each particle filter tracker is driven by a probabilistic template function with both spatial and temporal smoothing components, which is capable of adapting to abrupt positional and physiological changes. The trackers' spatio-temporal interactions are modeled via a dynamic Bayesian network. This tracker network achieves robust real-time performance over long periods of time. It is a general methodology, applicable across imaging modalities and in a variety of applications, including thermophysiological measurements on the face and MRI-guided robotic interventions on the heart. An assortment of experiments brings up the method's potential.

Date: Friday, September 30, 2011
Time: 10:00 AM
Place: 550-PGH
Faculty, students, and the general public are invited.
Advisor: Prof. Ioannis Pavlidis