Noise reduction in OCT skin images

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMedical Imaging 2017
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor Gimi, Andrzej Krol
PublisherSPIE
ISBN (Electronic)9781510607194
DOIs
StatePublished - 2017
Externally publishedYes
EventMedical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States
Duration: 12 Feb 201714 Feb 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10137
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/TerritoryUnited States
CityOrlando
Period12/02/1714/02/17

Keywords

  • Filtering
  • Image enhancement
  • Image processing
  • Noise removal
  • Optical coherence tomography
  • Speckle reduction

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