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Proceedings Paper

Noise reduction in OCT skin images
Author(s): Zahra Turani; Emad Fatemizadeh; Saba Adabi; Darius Mehregan; Steven Daveluy; Mohammadreza Nasiriavanaki
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Paper Abstract

OCT skin images suffer from artifacts. Speckle is the main artifact while the other one is called background noise. In this study, we propose an algorithm that significantly reduces the background noise before applying a speckle reduction method. The results show that the diagnostically relevant features in the images become clearer after applying the proposed method. We used sub-pixel weighted median filtering for speckle reduction. The results from background noise removal in combination with the proposed speckle reduction algorithm show a significant improvement in the clarity of diagnostically relevant features in in-vivo human skin images.

Paper Details

Date Published: 13 March 2017
PDF: 6 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013724 (13 March 2017); doi: 10.1117/12.2255548
Show Author Affiliations
Zahra Turani, Sharif Univ. of Technology (Iran, Islamic Republic of)
Emad Fatemizadeh, Sharif Univ. of Technology (Iran, Islamic Republic of)
Saba Adabi, Wayne State Univ. (United States)
Roma Tre Univ. (Italy)
Darius Mehregan, Wayne State Univ. (United States)
Steven Daveluy, Wayen State Univ. (United States)
Mohammadreza Nasiriavanaki, Wayne State Univ. (United States)
Barbara Ann Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

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