Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions

Mikko Lilja, Ville Vuorio, Kari Antila, Henri Setälä, Jorma Järnstedt, Mika Pollari

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

A 3-D reconstruction from sparse limited-angle x-ray projection data is a useful compromise between a single radiograph and a full CT reconstruction, e.g. in dental imaging. The segmentation of such volumes is desirable for clinical applications such as implantology, but the task is complicated by the inherent limited spatial validity of the reconstructions. We present an automatic model-based method for extracting the mandible from 3-D limited-angle dental x-ray reconstructions. The process includes enhancing the reconstruction, estimating the successfully reconstructed mandibular area, and the actual segmentation process. The results with 13 reconstructions are good with an average segmentation error of 0.32 mm.
Original languageEnglish
Title of host publication4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1933-1936
ISBN (Print)1-4244-0671-4, 1-4244-0672-2
DOIs
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
Event4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 - Arlington, VA, United States
Duration: 12 Apr 200715 Apr 2007

Conference

Conference4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007
CountryUnited States
CityArlington, VA
Period12/04/0715/04/07

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Lilja, M., Vuorio, V., Antila, K., Setälä, H., Järnstedt, J., & Pollari, M. (2007). Automatic segmentation of the mandible from limited-angle dental x-ray tomography reconstructions. In 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2007 (pp. 1933-1936). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ISBI.2007.357014