I will give an overview of our collaboration with radiologists in developing new visualization
tools to detect previously unseen patterns of injuries in the human brain. This allows researchers
and clinicians to better identify the extent of neural injuries - whether those injuries are from
trauma or other neurological disorders. This better method of visualization allows for more timely
therapeutic interventions. And, these same visualization tools can gauge any improvement in someone
who has suffered a brain injury. Diffusion kurtosis imaging (DKI) can reveal subtle changes in both
gray and white matter. It has shown promising results in studies on changes in gray matter and mild
traumatic brain injuries, where the traditional, Diffusion Tensor Imaging (DTI), is often found to
be inadequate. However, the highly detailed spatio-angular fields in DKI datasets present a special
challenge for visualization. Traditional techniques that use glyphs are often inadequate for
expressing subtle changes in the DKI fields.
My talk will outline our approach that addresses the above challenge to reveal
micro-structural properties of the brain.
About the speaker
Amitabh Varshney is the Director of the Institute for Advanced Computer Studies (UMIACS) and
Professor of Computer Science at the University of Maryland at College Park. He received a B. Tech.
in Computer Science from the Indian Institute of Technology, Delhi in 1989 and a M.S. and Ph.D. in
Computer Science from the University of North Carolina at Chapel Hill in 1991 and 1994. During 1994
- 2000, he was an Assistant Professor in the Department of Computer Science at the State University
of New York at Stony Brook. Varshney's research focus is on exploring the applications of graphics
and visualization in engineering, science, and medicine. He has worked on the design and
implementation of virtual walkthroughs of proposed structures, such as buildings, automobiles, and
submarines. In the process he has developed new algorithms for automatically generating
multiresolution object hierarchies, image-based rendering, parallel computation and simplification
of radiosity meshes, and fine gesture recognition for virtual environments. His work on efficient
and robust computation of smooth molecular surfaces is useful in the rational drug design process
through the protein folding and docking problems. He is currently exploring applications in
general-purpose high-performance parallel computing using clusters of CPUs and Graphics Processing
Units (GPUs). He has also consulted and collaborated with the industry including NVIDIA, Honda,
IBM, Daimler Chrysler, General Dynamics, and Reuters. He is the Director of the NVIDIA CUDA Center
of Excellence at Maryland. Varshney received a NSF CAREER Award in 1995 and a Honda Research
Initiation Award in 1997. He received the IEEE Visualization Technical Achievement Award in 2004.
He is currently serving as the Chair of the IEEE Visualization and Graphics Technical Committee. He
is a Fellow of IEEE.
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