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Unbiased Atlas Formation Via Large Deformations Metric Mapping

  • Peter Lorenzen
  • Brad C. Davis
  • Sarang Joshi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3750)

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

Computational anatomy Brain Atlases Image Metric Space 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Peter Lorenzen
    • 1
  • Brad C. Davis
    • 1
  • Sarang Joshi
    • 1
    • 2
  1. 1.Department of Computer ScienceUniversity of North CarolinaChapel HillUSA
  2. 2.Department of Radiation OncologyUniversity of North CarolinaChapel HillUSA

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