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Automatic Segmentation of Mandibles in Low-Dose CT-Data H. Lameckera

Summary: Automatic Segmentation of Mandibles in Low-Dose CT-Data
H. Lameckera
, S. Zachowa
, A. Wittmersa
, B. Webera
H.-C. Hegea
, B. Elsholtzb
, M. Stillerb
Zuse Institute Berlin, Germany
University Hospital Berlin, Charité, Germany
Abstract. 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


Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin


Collections: Computer Technologies and Information Sciences