Free-form image registration of human cochlear μCT data using skeleton similarity as anatomical prior

Hans Martin Kjer, Jens Fagertun, Sergio Vera, Debora Gil, Miguel Angel González Ballester, Rasmus Reinhold Paulsen

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Abstract

Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear μCT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of incorporating skeleton-based similarity as an anatomical registration prior. We extract a centerline skeleton of the cochlear spiral, and generate corresponding parametric pseudo-landmarks between samples. These correspondences are included in the cost function of a typical cubic B-spline registration model to provide a more global guidance of the alignment. The resulting registrations are evaluated using different metrics for accuracy and model behavior, and compared to the results of a registration without the prior.
Original languageEnglish
JournalPattern Recognition Letters
Volume76
Issue numberJune
Pages (from-to)76-82
ISSN0167-8655
DOIs
Publication statusPublished - 2016

Bibliographical note

©2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Keywords

  • Image registration
  • Regularization
  • Skeleton
  • Cochlea
  • Inner ear

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