Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6941018 | Pattern Recognition Letters | 2016 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
H. Martin Kjer, Jens Fagertun, Sergio Vera, Debora Gil, Miguel Ángel González Ballester, Rasmus R. Paulsen,