Speaker: Ivo Dinov.
Title: Mathematical, Statistical and Computational Challenges in Analyzing Brain Images.
Affiliation: Department of Statistics and Laboratory of Neuro Imaging, UCLA School of Medicine.
Date: Friday, September 13, 2002.
Place and Time: Room 101 - Love Building, 3:35-4:30 pm.
Refreshments: Room 204 - Love Building, 3:00 pm.

Abstract. We will discuss various problems encountered in the fields of brain mapping and neuroimaging. Problems that can be addressed by designing mathematical models, which in turn may be tested by computational methods and validated via neuroscientific expertise. Such problems include data acquisition, denoising, registration, geometrical modeling, statistical analysis, visualization and result interpretation.
   Will focus on the problem of efficient signal representation and quantitative evaluation of different 3D image registration methods. 3D brain atlas construction and utilization will also be presented in the context of MRI, PET and SPECT data from elderly, normal control and dementia patients.