Noise reduction in OCT skin images

Zahra Turani; Emad Fatemizadeh; Saba Adabi; Darius Mehregan; Steven Daveluy; Mohammadreza Nasiriavanaki

doi:10.1117/12.2255548

13 March 2017 Noise reduction in OCT skin images

Zahra Turani, Emad Fatemizadeh, Saba Adabi, Darius Mehregan, Steven Daveluy, Mohammadreza Nasiriavanaki

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 1013724 (2017) https://doi.org/10.1117/12.2255548
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

Citation Download Citation

Zahra Turani, Emad Fatemizadeh, Saba Adabi, Darius Mehregan, Steven Daveluy, and Mohammadreza Nasiriavanaki "Noise reduction in OCT skin images", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013724 (13 March 2017); https://doi.org/10.1117/12.2255548

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