An automatic segmentation and reconstruction of mandibular structures from CT-data

  • Authors:
  • Iñigo Barandiaran;Iván Macía;Eva Berckmann;Diana Wald;Michael Pierre Dupillier;Céline Paloc;Manuel Graña

  • Affiliations:
  • VICOMTech, Spain;VICOMTech, Spain;VICOMTech, Spain;German Cancer Research Center, Division of Medical and Biological Informatics, Germany;VICOMTech, Spain;VICOMTech, Spain;Grupo de Inteligencia Computacional, UPV, EHU, Spain

  • Venue:
  • IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
  • Year:
  • 2009

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Abstract

In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of the data, a segmentation process of the images to isolate the area or region of interest is important to be applied beforehand any visualization step. In this paper we present a method for mandibular structure surface extraction and reconstruction from CT-data images. We tested several methods and algorithms in order to find a fast and feasible approach that could be applicable in clinical procedures, providing practical and efficient tools for mandibular structures analysis.