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International Conference on Computer Vision and Graphics

ICCVG 2010: Computer Vision and Graphics pp 142–149Cite as

Inferior Maxillary Bone Tissue Classification in 3D CT Images

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 6375)

Abstract

This paper presents a method for segmenting the inferior maxillary bone in CT images and a technique to automatically classify bone tissue without requiring a training stage. These methods are used to measure the mean density of seven main anatomical zones of the mandible, making the difference between cortical and cancellous bone. The results lead to determine the normal density values in each region of the inferior maxillary bone and help to evaluate the success of the bone regeneration process. The proposed method was validated on ten axial slices from different zones of a patient mandible, by comparing automatic classification results with those obtained by expert manual classification. A 4% mean difference was found between percentages of bone tissue types, and the mean difference between mean density values was of 88 HU. Once the method was validated, it was applied to measure density in the seven anatomical zones of the inferior maxillary bone.

Keywords

  • Bone Tissue
  • Cortical Bone
  • Compute Tomography Image
  • Cancellous Bone
  • Outer Shell

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-642-15907-7_18
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Author information

Authors and Affiliations

  1. IMAGINE: Computación Visual, Universidad de Los Andes, Bogotá, Colombia

    Silvia Moreno, Sandra L. Caicedo & Marcela Hernández Hoyos

  2. Grupo de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia

    Juan C. Briceño, Soledad Gómez & Marcela Hernández Hoyos

  3. Centro de Investigaciones Odontológicas, Pontificia Universidad Javeriana, Bogotá, Colombia

    Tonny Strulovic & Fernando Briceño

Authors
  1. Silvia Moreno
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  2. Sandra L. Caicedo
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  3. Tonny Strulovic
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  4. Juan C. Briceño
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  5. Fernando Briceño
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  6. Soledad Gómez
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  7. Marcela Hernández Hoyos
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Institute of Computer Science, The Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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Moreno, S. et al. (2010). Inferior Maxillary Bone Tissue Classification in 3D CT Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-15907-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15906-0

  • Online ISBN: 978-3-642-15907-7

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