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Numerical Simulation of Endoscopic Images in Photodynamic Diagnosis

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Computer Vision and Graphics (ICCVG 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5337))

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Abstract

This paper introduces a photon subsurface scattering method to simulate light transport in human colon tissue. First the theoretical model and parameters of human tissue including autofluorescence phenomenon was presented. Then it was described the Monte-Carlo model of steady-state light transport in multi-layered colon. The goal of this investigation is to simulate the light propagation in tissue and to collect the data containing the effect of fluorescence. This information will be used to generate images. Pictures taken for different adjustment of light parameters should define a configuration for which cancerous structures are visible quickly and precisely. Real medical devices can adjust their parameters to the simulated ones and help with efficient diagnosis and recognition of diseased structures.

Supported by Ministry of Science and Higher Education grant R13 046 02.

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Author information

Authors and Affiliations

  1. Institute of Informatics, The Silesian University of Technology, Akademicka 2, 44-100, Gliwice, Poland

    Andrzej Zacher

Authors
  1. Andrzej Zacher
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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 Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Księcia Trojdena 4, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

  3. Polish-Japanese Institute of Information Technology, The Silesian University of Technology, Institute of Computer Science, 86 Koszykowa St, 02-008, Warsaw, Poland

    Konrad Wojciechowski

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Zacher, A. (2009). Numerical Simulation of Endoscopic Images in Photodynamic Diagnosis. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_33

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  • DOI: https://doi.org/10.1007/978-3-642-02345-3_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02344-6

  • Online ISBN: 978-3-642-02345-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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