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Automatic Landmarking of Cephalograms by Cellular Neural Networks

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Abstract

Cephalometric analysis is a time consuming measurement process by which experienced orthodontist identify on lateral craniofacial X-rays landmarks that are needed for diagnosis and treatment planning and evaluation. High speed and accuracy in detection of craniofacial landmarks are widely demanded. A prototyped system, which is based on CNNs (Cellular Neural Networks) is proposed as an efficient technique for landmarks detection. The first stage of system evaluation assessed the image output of the CNN, to verify that it included and properly highlighted the sought landmark. The second stage evaluated performance of the developed algorithms for 8 landmarks. Compared with the other methods proposed in the literature, the findings are particularly remarkable with respect to the accuracy obtained. Another advantage of a CNN based system is that the method can either be implemented via software, or directly embedded in the hardware, for real-time performance.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Informatica e Telecomunicazioni, Università di Catania, Viale A. Doria 6, 95125, Catania, Italy

    Daniela Giordano, Francesco Maiorana & Gabriele Cristaldi

  2. Istituto di II Clinica Odontoiatrica, Policlinico Città Universitaria, Via S. Sofia 78, 95123, Catania, Italy

    Rosalia Leonardi & Maria Luisa Distefano

Authors
  1. Daniela Giordano

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  2. Rosalia Leonardi

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  3. Francesco Maiorana

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  4. Gabriele Cristaldi

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  5. Maria Luisa Distefano

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Editor information

Editors and Affiliations

  1. Department of Information and Knowledge Engineering, Danube University Krems, Dr.-Karl-Dorrek-Str. 30, 3500, Krems, Austria

    Silvia Miksch

  2. Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK

    Jim Hunter

  3. Department of Computer Science, University of Cyprus, P.O.Box 20537, CY-1678, Nicosia, Cyprus

    Elpida T. Keravnou

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© 2005 Springer-Verlag Berlin Heidelberg

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Giordano, D., Leonardi, R., Maiorana, F., Cristaldi, G., Distefano, M.L. (2005). Automatic Landmarking of Cephalograms by Cellular Neural Networks. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_46

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