Three-dimensional imaging and quantification of heart muscle function
are essential steps in the evaluation of heart disease. Tagged
magnetic resonance imaging noninvasively places a pattern of
magnetization in the body that facilitates tracking the heart muscle
using postprocessing algorithms. zHARP uses both tag and phase encode
pulses in order to encode the motion of all the points in an image
slice. Postprocessing unambiguously tracks the three-dimensional
motion of every point in an image plane through an entire image
sequence. Tracked points do not experience errors due to phase
inhomogeneities in the receiver coils and have minimal artifacts from
tag pattern spectral peak interference. Experimental results will be
shown, including a phantom validation experiment comparing zHARP to
phase contrast imaging and an in vivo study of a normal human
volunteer. These results demonstrate that the simultaneous extraction
of both in- and through-plane displacements from tagged images is
feasible.
Brief Biography of Speaker:
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 200 articles and
abstracts on these subjects.
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