Yajing Zhang1, Jiangyang Zhang2, Jun Ma3, Kenichi Oishi2, Andreia V. Faria2, Michael I. Miller1,3, Susumu Mori2,4
Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore,
MD, USA; 2Department of Radiology & Radiological Science,
Johns Hopkins University School of Medicine, Baltimore, MD, USA; 3Center
for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; 4F.
An MR based brain atlas is a key component in modern image analysis process. In this study, a population averaged brain atlas was generated from 20 subject MRI/DTI data using a continuous fluid dynamic model based on image metric distance. This estimated atlas presents a group averaged shape that minimize its anatomical bias while preserves sharp image contrast for accurate structure delineation and image mapping. The characteristics of the estimated atlas were examined with respect to a single subject atlas and two group averaged atlases.