HALF-DAY TUTORIAL T2:
Director CBIM
Professor of Computer Science and Biomedical
Engineering
Rutgers University
Deformable models have traditionally dealt with modeling and analysis of shape and motion. Their ability to deform, change topology and introduce material properties based on physical principles has resulted in many successful applications to vision, graphics and medical image analysis.
In the first part of my talk I will give an overview
of deformable models and will present some of their applications such as the
modeling and analysis of the heart’s motion and level set formulations in
non-planar domains.
Recent
theoretical advances have lead to new classes of deformable models that borrow
the best features from level sets as well as traditional parametric deformable
models. In the second part of my talk I will present a new class of deformable
models termed metamorphs whose formulation integrates shape, intensity and
texture by borrowing ideas from level set and traditional parametric models. I
will then show the usefulness of these models in medical organ modeling and
segmentation from noisy images with fuzzy boundaries.
Dr. Dimitris
Metaxas is a Professor in the Division of Computer and Information Sciences and
Professor in the Department of Biomedical Engineering at Rutgers University
since September 2001. He is directing the Center for Computational Biomedicine,
Imaging and Modeling (CBIM). Prior to this he was a tenured Associate Professor
in the Computer and Information Science Department of the University of
Pennsylvania and Director of the VAST Laboratory. Professor Metaxas received a
Diploma in Electrical Engineering from the National Technical University of
Athens, Greece in 1986, an M. Sc. in Computer Science from the University of
Maryland, College Park in 1988, and a Ph.D.
in Computer Science from the
University of Toronto, Ontario, Canada in 1992.
Dr. Metaxas
has been conducting research towards the development of formal methods upon
which both computer vision, computer graphics and medical imaging can advance
synergistically. In the area of
biomedical applications, new methods have been developed for segmentation,
registration and shape and motion analysis of organs from imaging data, and new
deformable models suitable for the automatic diagnosis of heart illness from
MRI data. Dr. Metaxas has published over 190 research articles in these areas
and has graduated 17 PhD students. His research has been funded by NSF, NIH,
ONR (YIP), AFOSR and the ARO.
Dr. Metaxas is
the author of a book titled ``Physics-based deformable models: Applications to
computer vision, graphics and medical imaging'' published by Kluwer Academic.
He organized the first IEEE Workshop on Physics-Based Modeling in Computer
Vision, is on the Editorial Board of Medical Imaging and is an Associate Editor
of GMOD. Dr. Metaxas received several best paper awards for his research in
medical image analysis. He is a Fellow of the American Institute of Medical and
Biological Engineers, ACM and IEEE.