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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
a
Zuse Institute Berlin, Germany
b
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