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

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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
Issue numberJune
Pages (from-to)76-82
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.

CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

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