Classification of AD patients based on the type of visible abnormalities in

 
   Lead Investigator:    Saeid Taheri
   Institution      :    University of South Florida
   E-Mail           :    taheris@health.usf.edu
   Proposal ID      :    795



   Proposal Description:
   The goal of this research is to build a classifier to classify cognitive          impaired patients based on MR-visible cerebral abnormalities and cognitive        data.                                                                             Specifically we are interested to use in vivo imaging biomarkers of cerebral      abnormalities that supposedly have vascular origin and investigate their impact   on the severity of cognitive impairment. MR anatomical images (T1 and T2) and     diffusion images (DTI raw, or calculated FA, MD) when analyzed together may       offer a more detailed picture of cerebral damage with vascular origin, as seen    by hyperintensity in anatomical images. We aim to use advanced non-parametric     classification methods to define classes of cerebral injuries in AD patients      and compare with the known pathologies such as multiple infarcts, lacunar, and    microbleeds. Of course access to perfusion images will add more details on the    pathology of micro bleeds.