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.
Bibliographical note©2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
- Image registration
- Inner ear
Kjer, H. M., Fagertun, J., Vera, S., Gil, D., González Ballester, M. A., & Paulsen, R. R. (2016). Free-form image registration of human cochlear μCT data using skeleton similarity as anatomical prior. Pattern Recognition Letters, 76(June), 76-82. https://doi.org/10.1016/j.patrec.2015.07.017