Image Registration of Cochlear µCT Data Using Heat Distribution Similarity

Hans Martin Kjer, Sergio Vera, Jens Fagertun, Debora Gil, Miguel Angel González Ballester, Rasmus Reinhold Paulsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 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.
Original languageEnglish
Title of host publicationImage Analysis : 19th Scandinavian Conference, SCIA 2015 Copenhagen, Denmark, June 15–17, 2015 Proceedings
EditorsRasmus R. Paulsen, Kim S. Pedersen
Number of pages12
PublisherSpringer Science+Business Media
Publication date2015
Pages234-245
ISBN (Print)978-3-319-19664-0
ISBN (Electronic)978-3-319-19665-7
DOIs
Publication statusPublished - 2015
Event19th Scandinavian Conference on Image Analysis - Copenhagen, Denmark
Duration: 15 Jun 201517 Jun 2015
Conference number: 19
http://www.scia2015.org/

Conference

Conference19th Scandinavian Conference on Image Analysis
Number19
CountryDenmark
CityCopenhagen
Period15/06/201517/06/2015
Internet address
SeriesLecture Notes in Computer Science
Volume9127
ISSN0302-9743

Cite this

Kjer, H. M., Vera, S., Fagertun, J., Gil, D., González Ballester, M. A., & Paulsen, R. R. (2015). Image Registration of Cochlear µCT Data Using Heat Distribution Similarity. In R. R. Paulsen, & K. S. Pedersen (Eds.), Image Analysis: 19th Scandinavian Conference, SCIA 2015 Copenhagen, Denmark, June 15–17, 2015 Proceedings (pp. 234-245). Springer Science+Business Media. Lecture Notes in Computer Science, Vol.. 9127 https://doi.org/10.1007/978-3-319-19665-7_20