SPECKLE MODELIZATION IN OCT IMAGES FOR SKIN LAYERS SEGMENTATION

Ali Mcheik, Clovis Tauber, Hadj Batatia, Jerome George, Jean-Michel Lagarde

2008

Abstract

In dermatology, the optical coherence tomography (OCT) is used to visualize the skin over a few millimetre depth. These images are affected by speckle, which can alter the interpretation, but which also carry information that characterizes locally the visualized tissue. In this paper, we present a statistical study of the speckle distribution in OCT images. The capability of three probability density functions (pdf) (Rayleigh, Lognormal, and Nakagami) to differentiate the speckle distribution according to the skin layer is analysed. For each pdf, the vector of parameters, estimated over several images which are annotated by experts, are mapped onto a parameter space. Quantitative results over 30 images are compared to the manual delineations of 5 experts. Results confirm the potential of the method for the segmentation of the layers of the skin.

References

  1. Bashkansky, M. and Reintjes, J. (2000). Statistics and reductin of speckle in optical coherence tomography. Opt. Letters, 25:545-547.
  2. Iftimia, N., Bouma, B., and Tearney, G. (2003). Speckle reduction in optical coherence tomography by path length encoded angular compounding. Journal of Biomed. Opt., 8:260-263.
  3. Nicolas, J. (2006). Application of the mellin transform: study of the statistical laws of the image. Research Report 2006D010 ENST Paris.
  4. Raju, B. and Srinivasan, M. (2002). Statistics of envelope of high-frequency ultrasonic backscatter from human skin in vivo. Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, 49:871-882.
  5. Schmitt, J. (1999). Optical coherence tomography (oct): a review. IEEE J. Sel. Topics. Quant. Electron., 4:1205- 1215.
Download


Paper Citation


in Harvard Style

Mcheik A., Tauber C., Batatia H., George J. and Lagarde J. (2008). SPECKLE MODELIZATION IN OCT IMAGES FOR SKIN LAYERS SEGMENTATION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 347-350. DOI: 10.5220/0001086603470350


in Bibtex Style

@conference{visapp08,
author={Ali Mcheik and Clovis Tauber and Hadj Batatia and Jerome George and Jean-Michel Lagarde},
title={SPECKLE MODELIZATION IN OCT IMAGES FOR SKIN LAYERS SEGMENTATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={347-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001086603470350},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - SPECKLE MODELIZATION IN OCT IMAGES FOR SKIN LAYERS SEGMENTATION
SN - 978-989-8111-21-0
AU - Mcheik A.
AU - Tauber C.
AU - Batatia H.
AU - George J.
AU - Lagarde J.
PY - 2008
SP - 347
EP - 350
DO - 10.5220/0001086603470350