Unbiased Atlas Formation Via Large Deformations Metric Mapping
- 1 January 2005
- book chapter
- Published by Springer Nature
- Vol. 8, 411-418
- https://doi.org/10.1007/11566489_51
Abstract
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?Keywords
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