Improving Sensitivity of Early Detection of AD via Multidimensional Analysis of Longitudinal MR Scans

Award Month: 
January - February, 2012

This project is about the use of recent Computational Anatomy (CA) algorithms in developing novel multidimensional longitudinal biomarkers for early detection of neuroanatomical change due to AD vis-a-vis normal aging. The overarching hypotheses are that a) multidimensional biomarkers containing combined neuroanatomical measures from several structures at single time-point (baseline) and b) longitudinal multidimensional biomarkers additionally combining rate of change in neuroanatomical measures over time (follow-up scan compared to baseline) will offer superior sensitivity for early detection of AD than using neuroanatomical measures of individual structures separately at baseline alone.

About Project Leader: Dr. Mirza Faisal Beg

Dr. Mirza Faisal Beg is an associate professor in the School of Engineering Science of Simon Fraser University. In 2003 he completed his Ph.D. at the Department of Biomedical Engineering, Johns Hopkins University. Dr. Beg is the Chair of the Biomedical Engineering Option Program at SFU and a Co-Director of the Medical Image Analysis Laboratory at SFU. Dr. Beg's research interests include: Computational anatomy, Non-rigid registration of medical images, Shape analysis, Statistical atlas of anatomical shapes and parallel computing applications to medical image computing.