Avanaki, M.R.N. and Hojjatoleslami, A. and Podoleanu, A.G.H. (2009) Investigation of computer-based skin cancer detection using optical coherence tomography. Journal of Modern Optics, 56 (13). pp. 1536-1544. ISSN 0950-0340.
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In this paper, a procedure for computer-based detection of skin cancer, and in particular basal cell carcinoma (BCC), to assist dermatologists is investigated. The tissue compartments, which discriminate healthy and cancerous skins from an optical properties point of view, are studied. The application of an image-processing algorithm on a three-dimensional (3D) optical coherence tomography (OCT) image is explained. The algorithm finds the differences between healthy skin and BCC lesion by extracting scattering coefficient μs, absorption coefficient μa, and anisotropy factor g, from the 3D image of skin. We present the essential stages required to design a computer-based skin cancer detection algorithm using OCT and evaluate the performance of the algorithm using a phantom. The procedure to design the phantom and the choice of material used to model skin tissue based on BCC discriminators are discussed in detail.
|Uncontrolled keywords:||skin cancer; optical coherence tomography (OCT); scattering coefficient; absorption coefficient; anisotropy factor; solid phantom design|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Biosciences
Faculties > Science Technology and Medical Studies > School of Physical Sciences
|Depositing User:||Sayed Ali Hojjatoleslami|
|Date Deposited:||15 Sep 2009 09:06|
|Last Modified:||16 Jun 2011 13:18|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/22681 (The current URI for this page, for reference purposes)|
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