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In this paper, a new approach for computing different anatomical regions in dental Computed Tomography (CT) is presented. The approach consists of two steps. First, a HU threshold window sets to separate between different regions upon their gray-level values; second, a set of objects are generated and texture descriptors are calculated for selected windows from the image data sample. Finally, identification...
To improve planning of maxillofacial surgery, a novel method for maxillary, mandibular, and facial-nerve 3-D image reconstruction was implemented and optimized. A set of images acquired by a computed tomography (CT) scanner was segmented to reconstruct the 3-D model of the maxilla and mandible. Particular attention was given to the segmentation of the facial nerve, which was obtained through the gradient-vector-flow...
The article deals with problematic of 3D tissues reconstruction in area of stomatology. 3D geometry models of teeth and jaw bones we have created based on input CT image data. The input discrete CT data have to be segmented by nearly automatic procedure with correction and verification. Creation of segmented tissue 3D geometry models is based on vectorization of input discrete data extended by smoothing...
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