Speckle reduction of OCT images using an adaptive cluster-based filtering

Saba Adabi; Elaheh Rashedi; Silvia Conforto; Darius Mehregan; Qiuyun Xu; Mohammadreza Nasiriavanaki

doi:10.1117/12.2254903

Speckle reduction of OCT images using an adaptive cluster-based filtering

Saba Adabi
, Elaheh Rashedi
, Silvia Conforto
, Darius Mehregan
, Qiuyun Xu
, Mohammadreza Nasiriavanaki

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

5 Scopus citations

Abstract

Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin image can benefit from being segmented in to differentiable clusters, and being filtered separately in each cluster by using a clustering method and filtering methods such as Wiener. The proposed algorithm was tested on an optical solid phantom with predetermined optical properties. The algorithm was also tested on healthy skin images. The results show that the cluster-based filtering method can reduce the speckle and increase the signal-to-noise ratio and contrast while preserving the edges in the image.

Original language	English
Title of host publication	Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI
Editors	Valery V. Tuchin, Joseph A. Izatt, James G. Fujimoto, Valery V. Tuchin
Publisher	SPIE
ISBN (Electronic)	9781510605473
DOIs	https://doi.org/10.1117/12.2254903
State	Published - 2017
Externally published	Yes
Event	Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI - San Francisco, United States Duration: 29 Jan 2017 → 1 Feb 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10053
ISSN (Print)	1605-7422

Conference

Conference	Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI
Country/Territory	United States
City	San Francisco
Period	29/01/17 → 1/02/17

Keywords

OCT
Wiener filtering
clustering
skin images
speckle reduction

Access to Document

10.1117/12.2254903

Cite this

Adabi, S., Rashedi, E., Conforto, S., Mehregan, D., Xu, Q., & Nasiriavanaki, M. (2017). Speckle reduction of OCT images using an adaptive cluster-based filtering. In V. V. Tuchin, J. A. Izatt, J. G. Fujimoto, & V. V. Tuchin (Eds.), Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI Article 100532X (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10053). SPIE. https://doi.org/10.1117/12.2254903

Adabi, Saba ; Rashedi, Elaheh ; Conforto, Silvia et al. / Speckle reduction of OCT images using an adaptive cluster-based filtering. Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI. editor / Valery V. Tuchin ; Joseph A. Izatt ; James G. Fujimoto ; Valery V. Tuchin. SPIE, 2017. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

@inproceedings{6f0b2aeaaedf43dfbf1f5347445c017d,

title = "Speckle reduction of OCT images using an adaptive cluster-based filtering",

abstract = "Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin image can benefit from being segmented in to differentiable clusters, and being filtered separately in each cluster by using a clustering method and filtering methods such as Wiener. The proposed algorithm was tested on an optical solid phantom with predetermined optical properties. The algorithm was also tested on healthy skin images. The results show that the cluster-based filtering method can reduce the speckle and increase the signal-to-noise ratio and contrast while preserving the edges in the image.",

keywords = "OCT, Wiener filtering, clustering, skin images, speckle reduction",

author = "Saba Adabi and Elaheh Rashedi and Silvia Conforto and Darius Mehregan and Qiuyun Xu and Mohammadreza Nasiriavanaki",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI ; Conference date: 29-01-2017 Through 01-02-2017",

year = "2017",

doi = "10.1117/12.2254903",

language = "English",

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

publisher = "SPIE",

editor = "Tuchin, \{Valery V.\} and Izatt, \{Joseph A.\} and Fujimoto, \{James G.\} and Tuchin, \{Valery V.\}",

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Adabi, S, Rashedi, E, Conforto, S, Mehregan, D, Xu, Q & Nasiriavanaki, M 2017, Speckle reduction of OCT images using an adaptive cluster-based filtering. in VV Tuchin, JA Izatt, JG Fujimoto & VV Tuchin (eds), Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI., 100532X, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10053, SPIE, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, San Francisco, United States, 29/01/17. https://doi.org/10.1117/12.2254903

Speckle reduction of OCT images using an adaptive cluster-based filtering. / Adabi, Saba; Rashedi, Elaheh; Conforto, Silvia et al.
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI. ed. / Valery V. Tuchin; Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin. SPIE, 2017. 100532X (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10053).

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

TY - GEN

T1 - Speckle reduction of OCT images using an adaptive cluster-based filtering

AU - Adabi, Saba

AU - Rashedi, Elaheh

AU - Conforto, Silvia

AU - Mehregan, Darius

AU - Xu, Qiuyun

AU - Nasiriavanaki, Mohammadreza

PY - 2017

Y1 - 2017

N2 - Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin image can benefit from being segmented in to differentiable clusters, and being filtered separately in each cluster by using a clustering method and filtering methods such as Wiener. The proposed algorithm was tested on an optical solid phantom with predetermined optical properties. The algorithm was also tested on healthy skin images. The results show that the cluster-based filtering method can reduce the speckle and increase the signal-to-noise ratio and contrast while preserving the edges in the image.

AB - Optical coherence tomography (OCT) has become a favorable device in the dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain grainy pattern, called speckle, due to the broadband source that has been used in the configuration of OCT. So far, a variety of filtering techniques is introduced to reduce speckle in OCT images. Most of these methods are generic and can be applied to OCT images of different tissues. In this paper, we present a method for speckle reduction of OCT skin images. Considering the architectural structure of skin layers, it seems that a skin image can benefit from being segmented in to differentiable clusters, and being filtered separately in each cluster by using a clustering method and filtering methods such as Wiener. The proposed algorithm was tested on an optical solid phantom with predetermined optical properties. The algorithm was also tested on healthy skin images. The results show that the cluster-based filtering method can reduce the speckle and increase the signal-to-noise ratio and contrast while preserving the edges in the image.

KW - OCT

KW - Wiener filtering

KW - clustering

KW - skin images

KW - speckle reduction

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DO - 10.1117/12.2254903

M3 - Conference contribution

AN - SCOPUS:85019270267

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

BT - Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI

A2 - Tuchin, Valery V.

A2 - Izatt, Joseph A.

A2 - Fujimoto, James G.

A2 - Tuchin, Valery V.

PB - SPIE

T2 - Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI

Y2 - 29 January 2017 through 1 February 2017

ER -

Adabi S, Rashedi E, Conforto S, Mehregan D, Xu Q, Nasiriavanaki M. Speckle reduction of OCT images using an adaptive cluster-based filtering. In Tuchin VV, Izatt JA, Fujimoto JG, Tuchin VV, editors, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI. SPIE. 2017. 100532X. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2254903

Speckle reduction of OCT images using an adaptive cluster-based filtering

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Keywords

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