May 31st, 2002

Title : Image Processing of 3D Brain Data

Ivo D. Dinov, Ph.D.
Department of Statistics and
Laboratory of Neuro Imaging
UCLA School of Medicine
(dinov@stat.ucla.edu)
http://www.stat.ucla.edu/~dinov

We will discuss the mathematical, statistical and engineering challenges in stereotaxic brain mapping, including data acquisition, pre-processing, denoising, statistical analysis and result interpretation. Of particular importance will be the problem of efficient signal representation and quantitative evaluation of different 3D image registration methods. MRI (magnetic resonance imaging) and PET (positron emission tomography) data from elderly normal controls and dementia patients will be used to illustrate the functionality and disadvantages of a variety of mathematical techniques.