Automatic detection and classification of teeth in CT data

Item Type:	Article
Title:	Automatic detection and classification of teeth in CT data
Creators Name:	Duy, N.T. and Lamecker, H. and Kainmueller, D. and Zachow, S.
Abstract:	We propose a fully automatic method for tooth detection and classification in CT or cone-beam CT image data. First we compute an accurate segmentation of the maxilla bone. Based on this segmentation, our method computes a complete and optimal separation of the row of teeth into 16 subregions and classifies the resulting regions as existing or missing teeth. This serves as a prerequisite for further individual tooth segmentation. We show the robustness of our approach by providing extensive validation on 43 clinical head CT scans.
Source:	Lecture Notes in Computer Science
Title of Book:	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
ISSN:	0302-9743
ISBN:	978-3-642-33414-6
Publisher:	Springer
Volume:	7510
Page Range:	609-616
Date:	2012
Official Publication:	https://doi.org/10.1007/978-3-642-33415-3_75
PubMed:	View item in PubMed

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