Kjer, Hans MartinFagertun, JensVera, SergioGil, DeboraGonzález Ballester, Miguel Ángel, 1973-Paulsen, Rasmus2024-02-192024-02-192016Kjer HM, Fagertun J, Vera S, Gil D, González MÁ, Paulsen RR. Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior. Pattern Recognition Letters. 2016 Jun 1;76:76-82. DOI: 10.1016/j.patrec.2015.07.0170167-8655http://hdl.handle.net/10230/59141Better 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 toapplication/pdfeng© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).info:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.patrec.2015.07.017Image registrationRegularizationSkeletonCochleaInner earinfo:eu-repo/semantics/openAccess