Events

PhD Defense: "Parts-based Regression Analysis of Multimodal MRI Brain Scans"

Swapna Joshi

August 30th (Tuesday), 11:00am
Harold Frank Hall (HFH), Rm 4164


It is generally hypothesized that there are significant differences in the structural anatomy of the brains of normal people when compared to those who are diagnosed as psychopaths, yet very little quantitative data exists. This research addresses the problem of correlating clinically assigned psychopathic scores (called PCL-R scores) with Magnetic Resonance Imaging (MRI) scans of the brains of the subjects. We propose a novel data-driven parts-based regression algorithm for the analysis of such cross-sectional anatomical data. The method helps capture and localize biologically significant parts in the brain exhibiting regression with respect to the associated clinical variable. This analysis is further extended to the case of functional MRI brain scans wherein we present a new multi-modal regression method to capture the correlating anatomical parts between the modalities that are undergoing changes due to the clinical variable. Finally, a formulation of the regression method is provided to learn the complex relationship between each data modality and multiple clinical labels associated with them.

About Swapna Joshi:

Biography: Swapna Joshi was born in Lusaka, Zambia. She received her B.Sc. degree in Electrical and Computer engineering with magnum cum laude from North Carolina State University in 2005. She received her M.Sc. degree in Electrical Engineering with emphasis on Signal Processing from the University of California, Santa Barbara, in 2009 during which she was granted the NSF IGERT Fellowship. Since September 2009, she has been a graduate research assistant in the Center for BioImage Informatics. This research is in collaboration with Professor Scott Grafton in the Psychology Department at UCSB. Her scientific interests span the areas of computer vision and pattern recognition with particular emphasis on subspace methods for regression analysis in medical images. Thesis advisors: Professor Manjunath (ECE) and Prof Scott Grafton (Psychology)

Hosted by: Professor B.S. Manjunath