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Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology

  • Daniel H. Adler
  • Ranjit Ittyerah
  • John Pluta
  • Stephen Pickup
  • Weixia Liu
  • David A. Wolk
  • Paul A. YushkevichEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9902)

Abstract

The human hippocampus is a complex structure consisting of multiple anatomically and functionally distinct subfields. Obtaining subfield-specific measures from in vivo MRI is challenging, and can benefit from a detailed 3D anatomical reference. This paper builds a computational atlas of the hippocampus from high-resolution ex vivo MRI of 26 specimens using groupwise deformable registration. A surface-based approach based on the explicit segmentation and geometric modeling of hippocampal layers is used to initialize deformable registration of ex vivo MRI scans. This initialization improves of groupwise registration quality, as measured in terms of similarity metrics and qualitatively. The resulting atlas, which also includes annotations mapped from histology, is a unique resource for describing variability in hippocampal anatomy.

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© Springer International Publishing AG 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Daniel H. Adler
    • 3
  • Ranjit Ittyerah
    • 1
  • John Pluta
    • 1
  • Stephen Pickup
    • 1
  • Weixia Liu
    • 1
  • David A. Wolk
    • 2
  • Paul A. Yushkevich
    • 1
    Email author
  1. 1.Department of RadiologyUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.Department of NeurologyUniversity of PennsylvaniaPhiladelphiaUSA
  3. 3.Departments of Radiology and BioengineeringUniversity of PennsylvaniaPhiladelphiaUSA

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