Change detection in serial magnetic resonance imaging studies of age-related

 
   Lead Investigator:    Julia Patriarche
   Institution      :    AI Analysis, Inc.
   E-Mail           :    julia@aianalysis.com
   Proposal ID      :    630



   Proposal Description:
   There is compelling evidence that the traditional side-by-side method of viewing serial imaging studies, suffers from low sensitivity and high inter observer variability. Put simply: it is difficult to see differences between images that are displayed side-by-side. We have developed a software system that helps with this process (http://www.aianalysis.com) Society for Imaging Informatics in Medicine (SIIM) awarded us. We would like to apply our change detector system to serial magnetic resonance imaging studies of age related disorders, and verify its capacity to aid neuroradiologists assessing these cases.