Journal article
Free-form image registration of human cochlear μCT data using skeleton similarity as anatomical prior
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Alma Medical Imaging3
Autonomous University of Barcelona4
Catalan Institution for Research and Advanced Studies5
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.
Language: | English |
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Year: | 2016 |
Pages: | 76-82 |
ISSN: | 18727344 and 01678655 |
Types: | Journal article |
DOI: | 10.1016/j.patrec.2015.07.017 |
ORCIDs: | Kjer, Hans Martin , 0000-0002-9227-6826 and Paulsen, Rasmus Reinhold |