Abstract
This paper presents a novel semi-automated image processing procedure dedicated to the identification and characterization of the dental root canal, based on high-resolution micro-CT records. After the necessary image enhancement, parallel slices are individually segmented via histogram based quick fuzzy c-means clustering. The 3D model of root canal is built up from the segmented cross sections using the reconstruction of the inner surface, and the medial line is extracted by a 3D curve skeletonization algorithm. The central line of the root canal can finally be approximated as a 3D spline curve. The proposed procedure may support the planning of several kinds of endodontic interventions.
This project is supported in part by the New Széchenyi Plan (Project ID: TÁMOP-4.2.1/B-09/1/KMR-2010-0002), and the Hungarian National Scientific Research Foundation, Grants No. T80316 and T82066. The work of L. Szilágyi was supported by János Bolyai Fellowship Program of the Hungarian Academy of Sciences.
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© 2011 Springer-Verlag Berlin Heidelberg
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Szilágyi, L., Dobó-Nagy, C., Benyó, B. (2011). Identification of the Root Canal from Dental Micro-CT Records. In: San Martin, C., Kim, SW. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2011. Lecture Notes in Computer Science, vol 7042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25085-9_40
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DOI: https://doi.org/10.1007/978-3-642-25085-9_40
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