| Paul
Segars received his B.S. degree in Computer Engineering from the
University of South Carolina in 1996 and his Ph.D. in Biomedical
Engineering from the University of North Carolina at Chapel Hill
in 2001. In 2002, Paul joined the Division of Medical Imaging Physics
in the Department of Radiology at Johns Hopkins University as an
Assistant Professor with adjunct appointments in Biomedical Engineering
and Environmental Health Sciences. In 2006, Paul moved back to the
state of North Carolina accepting a position at Duke University
as an Assistant Professor in the Departments of Radiology and Biomedical
Engineering. There he is a member of the Duke Advanced Imaging Laboratories
and is a faculty member in the Medical Physics graduate program.
Paul is among the leaders in the development of simulation tools
for medical imaging research. In his research, he has applied state-of-the-art
computer graphics techniques, as used in current computer games
and movies, to develop realistic anatomical and physiological models.
Foremost among these are the 4D NURBS-based Cardiac-Torso (NCAT)
phantom, a computational model for the human body and cardiac and
respiratory motions, and the 4D Mouse Whole-Body (MOBY) phantom,
a similar model for the laboratory mouse. Used in combination with
accurate models of the imaging process, these phantoms can generate
imaging data close to that of actual subjects. The anatomy and physiology
of the phantoms are known, thus providing a gold standard from which
to quantitatively evaluate and improve imaging devices and techniques.
With such ability, both phantoms have gained a wide use in imaging
research, having been distributed to over 300 academic users in
the US and around the world as well as to several commercial medical
imaging companies. Through the application of these phantoms in
his own research as well as in the work of hundreds of others, Paul
has made a significant contribution to the field of medical imaging.
The nominator was Benjamin Tsui, PhD.
Citation: For contributions to the field of
medical imaging through the development of innovative computerized
simulation tools widely utilized by the research community.
Paul Segars can be reached at paul.segars@duke.edu
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