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Link to original content: https://doi.org/10.1007/BFb0046963
An artificial intelligence approach for automatic interpretation of maxillofacial CT images | SpringerLink
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An artificial intelligence approach for automatic interpretation of maxillofacial CT images

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Visualization in Biomedical Computing (VBC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1131))

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Abstract

In this paper we present an automatic system for segmentation and recognition of relevant tissues in maxillofacial CT images. The system allows to dynamically validate anatomical information of these structures. Our procedure differs from previous attempts in its use of advanced low level segmentation operators and specific knowledge bases that embody knowledge about tissue characteristics, not about specific anatomical structures or organs. System results tested on CT images from five patients running on a PC-based hardware are very promising both in accuracy and processing time. The developed system has applications in dental implantology, allowing the optimization of surgery 3D planning in low cost PC-based workstations.

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Author information

Authors and Affiliations

  1. Departamento de Ingeniería Gráfica, Universidad Politécnica de Valencia, Spain

    M. Alcañiz, V. Grau1, M. C. Juan & C. Monserrat

  2. Technische Universitat Erlangen, Germany

    C. Knoll

  3. Faculty of Medicine and Dentistry of Valencia, Valencia, Spain

    S. Albalat

Authors
  1. M. Alcañiz
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  2. V. Grau1
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  3. C. Knoll
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  4. M. C. Juan
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  5. C. Monserrat
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  6. S. Albalat
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Editor information

Karl Heinz Höhne Ron Kikinis

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© 1996 Springer-Verlag Berlin Heidelberg

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Alcañiz, M., Grau1, V., Knoll, C., Juan, M.C., Monserrat, C., Albalat, S. (1996). An artificial intelligence approach for automatic interpretation of maxillofacial CT images. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046963

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  • DOI: https://doi.org/10.1007/BFb0046963

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

  • eBook Packages: Springer Book Archive

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