Paper
13 March 2013 Semi-automatic registration of 3D orthodontics models from photographs
Author Affiliations +
Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86691E (2013) https://doi.org/10.1117/12.2006900
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
In orthodontics, a common practice used to diagnose and plan the treatment is the dental cast. After digitization by a CT-scan or a laser scanner, the obtained 3D surface models can feed orthodontics numerical tools for computer-aided diagnosis and treatment planning. One of the pre-processing critical steps is the 3D registration of dental arches to obtain the occlusion of these numerical models. For this task, we propose a vision based method to automatically compute the registration based on photos of patient mouth. From a set of matched singular points between two photos and the dental 3D models, the rigid transformation to apply to the mandible to be in contact with the maxillary may be computed by minimizing the reprojection errors. During a precedent study, we established the feasibility of this visual registration approach with a manual selection of singular points. This paper addresses the issue of automatic point detection. Based on a priori knowledge, histogram thresholding and edge detection are used to extract specific points in 2D images. Concurrently, curvatures information detects 3D corresponding points. To improve the quality of the final registration, we also introduce a combined optimization of the projection matrix with the 2D/3D point positions. These new developments are evaluated on real data by considering the reprojection errors and the deviation angles after registration in respect to the manual reference occlusion realized by a specialist.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raphaël Destrez, Sylvie Treuillet, Yves Lucas, and Benjamin Albouy-Kissi "Semi-automatic registration of 3D orthodontics models from photographs", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86691E (13 March 2013); https://doi.org/10.1117/12.2006900
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
3D modeling

Image registration

3D image processing

Teeth

Optimization (mathematics)

Neck

Mouth

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