Skip to main content
SpringerLink
Log in

Noninvasive skin imaging

  • Posters
  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

Abstract

An earlier model of colour formation within normal human skin was extended to include architectural distortions associated with various pigmented skin lesions, including malignant melanoma. The extended five-layer model makes it possible to derive parameters characterising the thickness and pigment composition of the skin layers from calibrated colour and infrared images of skin lesions. The extracted parameters can be used to reconstruct a full 3-dimensional model of the skin architecture which conveys information grossly comparable to that available through microscopical examination of biopsied skin tissue.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderson, R., Parrish, B. S., Parrish, J. A.: The Optics of Human Skin. The Journal of Investigative Dermatology 77(1) (1981) 13–19

    PubMed  Google Scholar 

  2. Cotton, S. D., Claridge, E.: Developing a Predictive Model of Human Skin Colouring. SPIE Proceedings Vol. 2708 Medical Imaging 1996: Physics of Medical Imaging (April 1996) 814–825

    Google Scholar 

  3. Cotton, S. D., Claridge, E.: A Noninvasive Skin Imaging System. Technical Report CSR-97-3. University of Birmingham School of Computer Science (1997)

    Google Scholar 

  4. Dhawan, A. P., Sicsu, A.: Segmentation of Images of Skin Lesions Using Color and Texture Information of Surface Pigmentation. Computerized Medical Imaging and Graphics 16(3) (1992) 163–177

    PubMed  Google Scholar 

  5. Egan, W. G., Hilgeman, T. W.: Optical Properties of Inhomogeneous Materials. Academic Press (1979)

    Google Scholar 

  6. Umbaugh, S. E., Moss, R. H., Stoecker, W. V.: Automatic Color Segmentation of Images with Application to Detection of Variegated Coloring in Skin Tumors. IEEE Engineering in Medicine and Biology Magazine (December 1989) 43–52

    Google Scholar 

  7. Umbaugh, S. E., Moss, R. H., Stoecker, W. V.: Applying Artificial Intelligence to the Identification of Variegated Coloring in Skin Tumors. IEEE Engineering in Medicine and Biology Magazine (December 1991) 57–62

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science, University Of Birmingham, B15 2TT, UK

    Symon Cotton & Ela Claridge

  2. Addenbrooke's Hospital, Cambridge, UK

    Per Hall (Consultant plastic surgeon)

Authors
  1. Symon Cotton
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ela Claridge
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Per Hall
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

James Duncan Gene Gindi

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cotton, S., Claridge, E., Hall, P. (1997). Noninvasive skin imaging. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_50

Download citation

  • DOI: https://doi.org/10.1007/3-540-63046-5_50

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation