Abstract
Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Good non-rigid alignment of high-resolution cochlear \(\mu \)CT data is a challenging task.
In this paper we study the use of heat distribution similarity between samples as an anatomical registration prior. We set-up and present our heat distribution model for the cochlea and utilize it in a typical cubic B-spline registration model. Evaluation and comparison is done against a corresponding normal registration of binary segmentations.
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Kjer, H.M., Vera, S., Fagertun, J., Gil, D., González-Ballester, M.Á., Paulsen, R. (2015). Image Registration of Cochlear \(\mu \)CT Data Using Heat Distribution Similarity. In: Paulsen, R., Pedersen, K. (eds) Image Analysis. SCIA 2015. Lecture Notes in Computer Science(), vol 9127. Springer, Cham. https://doi.org/10.1007/978-3-319-19665-7_20
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DOI: https://doi.org/10.1007/978-3-319-19665-7_20
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