A medial point cloud based algorithm for dental cast segmentation

Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only...

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Bibliographic Details
Published inProceedings of IEEE International Symposium on Consumer Electronics pp. 331 - 334
Main Authors Kustra, Jacek, de Jager, Marko, Jalba, Andrei, Telea, Alexandru
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2014
Subjects
Computational modeling
Convergence
Dentistry
Shape
Skeleton
Teeth
Three-dimensional displays
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ISSN2158-3994
DOI10.1109/ICCE.2014.6776028

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Summary:Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.
ISSN:2158-3994
DOI:10.1109/ICCE.2014.6776028