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Plenary Speaker:
Jerry
L. Prince
William
B. Kouwenhoven Professor of Electrical
and Computer Engineering
Whiting
School of Engineering
Johns
Hopkins University
A
Unified Framework for Motion and Strain Imaging in MRI
Brief
Abstract:
Motion
and strain imaging using magnetic resonance has proven to be a
valuable research
tool and is verging on widespread clinical
application in heart disease diagnosis and treatment
monitoring. In
this talk, both the imaging techniques of MR tagging and stimulated
echoes as
well as the image analysis methods of HARP, DENSE, and SENC
will be placed on a common
"spectrum" of techniques for
imaging motion and strain. The techniques will be described and
common capabilities as well as tradeoffs and overall limitations in
performance will be illustrated.
Opportunities for future research
will be discussed.
Brief
Biography:
Jerry
L. Prince received the B.S. degree from the University of
Connecticut in 1979 and the
S.M., E.E., and Ph.D. degrees in 1982,
1986, and 1988, respectively, from the Massachusetts
Institute of
Technology, all in electrical engineering and computer science. He
has worked as
an engineer at the Brigham and Women's Hospital, MIT
Lincoln Laboratories, and The Analytic
Sciences Corporation (TASC).
He joined the faculty at the Johns Hopkins University in 1989,
where
he is currently William B. Kouwenhoven Professor in the Department of
Electrical and
Computer Engineering and holds joint appointments in
the Departments of Radiology, Biomedical
Engineering, Computer
Science, and Applied Mathematics and Statistics. Dr. Prince is a
Fellow
of the IEEE and a member of Sigma Xi. He also holds
memberships in Tau Beta Pi, Eta Kappa
Nu, and Phi Kappa Phi honor
societies. He was an Associate Editor of IEEE Transactions on
Image
Processing from 1992-1995, an Associate Editor of IEEE Transactions
on Medical Imaging
from 2000-2004 and is currently a member of the
Editorial Board of Medical Image Analysis.
Dr. Prince received a
1993 National Science Foundation Presidential Faculty Fellows Award
and was Maryland's 1997 Outstanding Young Engineer. He is also
co-founder of Diagnosoft, Inc.,
a medical imaging software company.
His current research interests are in image processing
and computer
vision with primary application to medical imaging and has published
over 300
articles and abstracts on these subjects.
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