Unbiased atlas formation via large deformations metric mapping.
The construction of population atlases is a key issue in medical image analysis, and particularly in brain mapping. Large sets of images are mapped into a common coordinate system to study intra-population variability and inter-population differences, to provide voxel-wise mapping of functional sites, and to facilitate tissue and object segmentation via registration of anatomical labels. We formulate the unbiased atlas construction problem as a Fréchet mean estimation in the space of diffeomorphisms via large deformations metric mapping. A novel method for computing constant speed velocity fields and an analysis of atlas stability and robustness using entropy are presented. We address the question: how many images are required to build a stable brain atlas?
Lorenzen
Peter
P
Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA. lorenzen@cs.unc.edu
Davis
Brad
B
Joshi
Sarang
S