NDLI: Automatic extraction of mandibular bone geometry for anatomy-based synthetization of radiographs

Content Provider	IEEE Xplore Digital Library
Author	Antila, Kari Lilja, Mikko Kalke, Martti Lotjonen, Jyrki
Copyright Year	2008
Description	Author affiliation: Helsinki University of Tecnology, P.O. Box 1000, FI-04301 Tuusula, Finland (Lilja, Mikko) \|\| PaloDEx Group Inc., P.O. BOX 64, FI-04301 Tuusula, Finland (Kalke, Martti) \|\| Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School and VTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere, Finland (Antila, Kari) \|\| VTT Technical Research Centre of Finland, Finland (Lotjonen, Jyrki)
Abstract	We present an automatic method for segmenting Cone-Beam Computerized Tomography (CBCT) volumes and synthetizing orthopantomographic, anatomically aligned views of the mandibular bone. The model-based segmentation method was developed having the characteristics of dental CBCT, severe metal artefacts, relatively high noise and high variability of the mandubular bone shape, in mind. First, we applied the segmentation method to delineate the bone. Second, we aligned a model resembling the geometry of orthopantomographic imaging according to the segmented surface. Third, we estimated the tooth orientations based on the local shape of the segmented surface. These results were used in determining the geometry of the synthetized radiograph. Segmentation was done with excellent results: with 14 samples we reached 0.57 ± 0.16 mm mean distance from hand drawn reference. The estimation of tooth orientations was accurate with error of 0.65 ± 8.0 degrees. An example of these results used in synthetizing panoramic radiographs is presented.
Starting Page	490
Ending Page	493
File Size	2046991
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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