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 μCT 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.
CITATION STYLE
Kjer, H. M., Vera, S., Fagertun, J., Gil, D., González-Ballester, M., & Paulsen, R. (2015). Image registration of cochlear μCT data using heat distribution similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9127, pp. 234–245). Springer Verlag. https://doi.org/10.1007/978-3-319-19665-7_20
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