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janelia7_blocks-janelia7_biblio_header | block
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2012;15(Pt 1):609-16
Automatic detection and classification of teeth in CT data. Kainmueller Lab

Duy NT, Lamecker H, Kainmueller D, Zachow S
Note: Research in this publication was not performed at Janelia.
janelia7_blocks-janelia7_biblio_abstract | block
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.
PMID: 23285602 [PubMed - indexed for MEDLINE]
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janelia7_blocks-janelia7_biblio_authors | block
Janelia Authors
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