Inverse Problems in Medical Imaging and Computer Vision

Tuesday, March 15, 2016 - 9:00am - 10:00am
Keller 3-180
Allen Tannenbaum (State University of New York, Stony Brook (SUNY))
In this talk, we will review some key inverse problems in medical imaging and vision, in particular, segmentation and registration. The approach will be via energy minimization through the calculus of variations as well Bayesian. We will also show how these techniques made be made interactive through the use of feedback. This will allow us to make contact with ideas from distributed parameter systems. All of the techniques will be illustrated through some real medical imagery including MRI and CT data.
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