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Assessment of Ulcer Wounds Size Using 3D Skin Surface Imaging

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Visual Informatics: Bridging Research and Practice (IVIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5857))

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Abstract

In this work 3D surface scans of wounds are used to obtain several measurement including wound top area, true surface area (rue area), depth, and volume for the purpose of assessing the progress of ulcer wounds throughout treatment. KONICA MINOLTA 910 laser scanner is used to obtain the surface scans. The algorithm for estimating top area and true surface area from surface scan can reduce the inaccuracy that might result when using manual method. Two methods for solid construction and volume computation were considered; namely mid-point projection and convex hull approximation (Delaunay tetrahedralization). The performance of convex hull approximation method for volume estimation is improved by performing surface subdivision prior to the approximation. The performance of these algorithms on different patterns of simulated wound models is presented. Furthermore the algorithms are tested in two molded wounds printed using rapid prototyping (RP) technique.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 31750, Tronoh, Perak, Malaysia

    Ahmad Fadzil M. Hani & Nejood M. Eltegani

  2. Department of Dermatology, Hospital Kuala Lumpur, Jalan Pahang, 50586, Kuala Lumpur, Malaysia

    Suraiya H. Hussein, Adawiyah Jamil & Priya Gill

Authors
  1. Ahmad Fadzil M. Hani
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  2. Nejood M. Eltegani
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  3. Suraiya H. Hussein
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  4. Adawiyah Jamil
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  5. Priya Gill
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, United Kingdom

    Peter Robinson

  3. Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College, SW7 2AZ, London, UK

    Maria Petrou

  4. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  5. School of Computer Science and Information Technology, RMIT University, GPO Box 2476, 3001, Melbourne, Victoria, Australia

    Heiko Schröder

  6. Department of Computer Science and Information Engineering, Tamkang University, Tamkang University,, Taiwan

    Timothy K. Shih

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© 2009 Springer-Verlag Berlin Heidelberg

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Hani, A.F.M., Eltegani, N.M., Hussein, S.H., Jamil, A., Gill, P. (2009). Assessment of Ulcer Wounds Size Using 3D Skin Surface Imaging. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_24

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  • DOI: https://doi.org/10.1007/978-3-642-05036-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05035-0

  • Online ISBN: 978-3-642-05036-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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