Automatic Segmentation of Mandibles in Low Dose CT Data


Computer assisted planning in cranio-maxillofacial surgery often requires the segmentation and reconstruction of the mandibular bone from CT data. A common imaging modality is cone-beam volumetric tomography, which requires only low doses of radiation yet suffers from small signal to noise ratio and strong artefacts in the presence of metal. This work explores the ability of model-based segmentation using a 3D statistical mandible model for automatic segmentation in such data. Apart from the statistical model, a key ingredient for this method is the deformation strategy for detecting the mandibular bone. Quantitative results support the feasibility of the proposed approach.

A New Cone-beam Computed Tomography System for Dental Applications with Innovative 3D Software. Int J CARS 1, 393-395 (2006)
Hans Lamecker
Hans Lamecker
Managing Director

Advancing 3D analysis, planning, design and manufacturing using innovative computational methods and tools