Noise reduction in OCT skin images

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

doi:10.1117/12.2255548

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 proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Medical Imaging 2017
Subtitle of host publication	Biomedical Applications in Molecular, Structural, and Functional Imaging
Editors	Barjor Gimi, Andrzej Krol
Publisher	SPIE
ISBN (Electronic)	9781510607194
DOIs	https://doi.org/10.1117/12.2255548
State	Published - 2017
Externally published	Yes
Event	Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States Duration: 12 Feb 2017 → 14 Feb 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10137
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/Territory	United States
City	Orlando
Period	12/02/17 → 14/02/17

Keywords

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

Access to Document

10.1117/12.2255548

Cite this

Turani, Z., Fatemizadeh, E., Adabi, S., Mehregan, D., Daveluy, S., & Nasiriavanaki, M. (2017). Noise reduction in OCT skin images. In B. Gimi, & A. Krol (Eds.), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging Article 1013724 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10137). SPIE. https://doi.org/10.1117/12.2255548

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title = "Noise reduction in OCT skin images",

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.",

keywords = "Filtering, Image enhancement, Image processing, Noise removal, Optical coherence tomography, Speckle reduction",

author = "Zahra Turani and Emad Fatemizadeh and Saba Adabi and Darius Mehregan and Steven Daveluy and Mohammadreza Nasiriavanaki",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 12-02-2017 Through 14-02-2017",

year = "2017",

doi = "10.1117/12.2255548",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

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}

Turani, Z, Fatemizadeh, E, Adabi, S, Mehregan, D, Daveluy, S & Nasiriavanaki, M 2017, Noise reduction in OCT skin images. in B Gimi & A Krol (eds), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging., 1013724, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10137, SPIE, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, Orlando, United States, 12/02/17. https://doi.org/10.1117/12.2255548

Noise reduction in OCT skin images. / Turani, Zahra; Fatemizadeh, Emad; Adabi, Saba et al.
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. ed. / Barjor Gimi; Andrzej Krol. SPIE, 2017. 1013724 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10137).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Noise reduction in OCT skin images

AU - Turani, Zahra

AU - Fatemizadeh, Emad

AU - Adabi, Saba

AU - Mehregan, Darius

AU - Daveluy, Steven

AU - Nasiriavanaki, Mohammadreza

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Filtering

KW - Image enhancement

KW - Image processing

KW - Noise removal

KW - Optical coherence tomography

KW - Speckle reduction

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DO - 10.1117/12.2255548

M3 - Conference contribution

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T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2017

A2 - Gimi, Barjor

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PB - SPIE

T2 - Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging

Y2 - 12 February 2017 through 14 February 2017

ER -

Noise reduction in OCT skin images

Abstract

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Keywords

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