Expertise:
Development of computational
techniques for neuroimaging related to computer vision, image
and signal processing, pattern recognition, machine learning,
geometric modeling, and computational geometry. Graphic rendering
and visualization of fMRI, MRI and DTI brain imaging data.
De velopment of software tools for neuroimaging using standard
cross-platform components such as OpenGL, VTK, ITK, and various
numerical analysis libraries.
Research in the Agam laboratory is concerned with understanding
how visual analysis of 3D neuroimaging modalities such as
fMRI, MRI and DTI brain imaging is a significant component
in research and clinical practice. Using imaging techniques
it is possible to assess brain activity in humans and study
the reorganization of brain activity after disabling conditions.
This can then be used to assess conditions, plan interventions,
and monitor recovery. My research interests are in the development
of computational techniques for automated analysis, interpretation,
and visualization of brain structure and function in fMRI,
MRI and DTI brain imaging data. I am particularly interested
in developing computational tools to facilitate the study
of functional and morphometric variability in human brains
by registering brain data sets of different subjects with
and without abnormalities.
Specific research projects:
-- Computational techniques for automated brain lesion
detection and quantification in DTI using probabilistic models
-- Computational techniques for multisubject brain registration
using diffusion tensor and functional MRI
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