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Acting Director of Undergraduate Studies in Biomedical Engineering.
My
research centers on techniques for accurate analysis and
quantification of medical images.
Current
medical imaging modalities can reveal rich information about
structure and function in three dimensions and in vivo. However, in
order to extract measures that are meaningful for scientific or
clinical purposes, it is necessary to have quantitative methods of
medical image analysis that are robust in the presence of noise,
complexity, artifacts, etc.
I
am developing methods for the segmentation of anatomic object
boundaries from structural images using geometric models of
deformable objects. These boundaries can then be used to
measure various geometric features (e.g., curvature, volume, surface
area) that may be indicative of disease.
Nonrigid
registration between images of different subjects or other
nonrigidly related structures is another key problem. I am working
on a formulation of match measures and transformations which will
enable the determination of an optimal alignment.of homologous
features. I am also interested in the analysis of diffusion
tensor magnetic resonance images and functional magnetic resonance
images.
I
am applying these techniques primarily to the measurement of
neuroanatomy and function. More accurate, reproducible, and
efficient methods for measurement from images will aid in the basic
understanding of physiology and in the identification of structural
and functional correlates of disease.
For related information, visit Image Processing and
Analysis Group
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Selected Publications:
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"Shape
Constraints in Deformable Models," L.H. Staib, X. Zeng, J.S. Duncan, R.T.
Schultz and A. Chakraborty, In: Handbook of Medical Imaging: Processing and
Analysis, I. Bankman, ed., (Academic Press, 2000), 147-157.
"Physical
Model-Based Non-rigid Registration Incorporating Statistical Shape
Information," Y. Wang and L.H. Staib, Medical Image Analysis, 4,
7-20 (2000).
"Boundary
Finding with Prior Shape and Smoothness Models," Y. Wang and L.H. Staib,
IEEE Transactions on Pattern Recognition and Machine Intelligence, 22(7),
738-743 (2000).
"Automated
Measurement of Latent Morphological Features in the Human Corpus Callosum,"
B.S. Peterson, P.A. Feineigle, L.H. Staib, J.C. Gore, Human Brain Mapping,
12(4), 232-245 (2001).
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