ICIP 2006, Atlanta, GA

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Paper Detail

Session:Biomedical Image Segmentation and Quantitative Analysis
Time:Tuesday, October 10, 14:20 - 17:00
Presentation: Poster
Topic: Biomedical Imaging: Biomedical image segmentation and quantitative analysis
Authors: Kari Antila; VTT Technical Research Centre of Finland 
 Mikko Lilja; Helsinki University of Technology 
 Martti Kalke; PaloDEx Group 
 Jyrki Lötjönen; VTT Technical Research Centre of Finland 
Abstract: Modern reconstruction algorithms allow volumetric imaging with conventional 2D dental X-ray systems. Volumetric images are useful in dental implantology, where the correct identification of key structures such as the edges of the mandible and the mandibular nerve is critical. This paper presents a segmentation method capable of extracting the mandible. The segmentation is based on a statistical model which was first transformed affinely and finally deformed non-rigidly to the object. The method was tested on three volumes with good results: mean distances between the deformed and manually segmented reference surfaces were 0.26, 0.34 and 0.50 mm. Applications of the method include the extraction of slices orthogonal to the mandibular bone centerline and local, anatomy based image enhancement.