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3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach

  • Paul A. Yushkevich
  • Brian B. Avants
  • Lydia Ng
  • Michael Hawrylycz
  • Pablo D. Burstein
  • Hui Zhang
  • James C. Gee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4057)

Abstract

The Allen Brain Atlas project aims to bridge the divide between genomics and neuroanatomy by mapping the expression of the entire C57BL/6J mouse genome onto a high-resolution 3D anatomical reference atlas of the mouse brain. We present the image registration approach used to generate this anatomical reference from histological sections. Due to the large number of sections (525) and the presence of debris and distortions, a straightforward alignment of each slice to its neighbors fails to accurately recover the 3D shape of the brain. On the other hand, multimodality registration of histology slices to an MRI reference compromises correspondences between neighboring slices. Our approach combines the high-frequency component of slice-to-slice histology registration with the low-frequency component of the histology-to-MRI registration to produce a coarse-to-fine reconstruction that is accurate both in its global shape and in the alignment of local features.

Keywords

Rigid Registration Elastic Registration Allen Brain Atlas Allen Institute Neighboring Slice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Paul A. Yushkevich
    • 1
  • Brian B. Avants
    • 1
  • Lydia Ng
    • 2
  • Michael Hawrylycz
    • 2
  • Pablo D. Burstein
    • 1
  • Hui Zhang
    • 1
  • James C. Gee
    • 1
  1. 1.Penn Image Computing and Science LaboratoryDepartment of Radiology, University of PennsylvaniaPhiladelphiaUSA
  2. 2.Allen Institute for Brain ScienceSeattleUSA

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