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

H. Martin Kjer, Jens Fagertun, Sergio Vera, Debora Gil, Miguel Ángel González Ballester, Rasmus R. Paulsen

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

© 2015 The Authors. Published by Elsevier B.V. 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
Pages (from-to)76-82
JournalPattern Recognition Letters
Volume76
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

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

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