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Wavelet-based denoising for 3D OCT images

Vladimir Zlokolica, Ljubomir Jovanov UGent, Aleksandra Pizurica UGent, Paul De Keyser, Frans Dhaenens and Wilfried Philips UGent (2007) Proceedings of SPIE, the International Society for Optical Engineering. 6696.
abstract
Optical coherence tomography produces high resolution medical images based on spatial and temporal coherence of the optical waves backscattered from the scanned tissue. However, the same coherence introduces speckle noise as well; this degrades the quality of acquired images. In this paper we propose a technique for noise reduction of 3D OCT images, where the 3D volume is considered as a sequence of 2D images, i.e., 2D slices in depth-lateral projection plane. In the proposed method we first perform recursive temporal filtering through the estimated motion trajectory between the 2D slices using noise-robust motion estimation/compensation scheme previously proposed for video denoising. The temporal filtering scheme reduces the noise level and adapts the motion compensation on it. Subsequently, we apply a spatial filter for speckle reduction in order to remove the remainder of noise in the 2D slices. In this scheme the spatial (2D) speckle-nature of noise in OCT is modeled and used for spatially adaptive denoising. Both the temporal and the spatial filter are wavelet-based techniques, where for the temporal filter two resolution scales are used and for the spatial one four resolution scales. The evaluation of the proposed denoising approach is done on demodulated 3D OCT images on different sources and of different resolution. For optimizing the parameters for best denoising performance fantom OCT images were used. The denoising performance of the proposed method was measured in terms of SNR, edge sharpness preservation and contrast-to-noise ratio. A comparison was made to the state-of-the-art methods for noise reduction in 2D OCT images, where the proposed approach showed to be advantageous in terms of both objective and subjective quality measures.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
wavelets, 3D OCT, denoising, SPECKLE REDUCTION, ALGORITHM, FILTER, NOISE
in
Proceedings of SPIE, the International Society for Optical Engineering
editor
AG Tescher
volume
6696
issue title
Applications of digital image processing XXX, pts 1 and 2
article_number
66960P
pages
11 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
Conference on Applications of Digital Image Processing XXX
conference location
San Diego, CA, USA
conference start
2007-08-28
conference end
2007-08-30
Web of Science type
Article
Web of Science id
000252226000023
ISSN
0277-786X
DOI
10.1117/12.734286
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
424249
handle
http://hdl.handle.net/1854/LU-424249
date created
2008-06-27 16:50:00
date last changed
2012-01-23 10:01:56
@inproceedings{424249,
  abstract     = {Optical coherence tomography produces high resolution medical images based on spatial and temporal coherence of the optical waves backscattered from the scanned tissue. However, the same coherence introduces speckle noise as well; this degrades the quality of acquired images. 
In this paper we propose a technique for noise reduction of 3D OCT images, where the 3D volume is considered as a sequence of 2D images, i.e., 2D slices in depth-lateral projection plane. In the proposed method we first perform recursive temporal filtering through the estimated motion trajectory between the 2D slices using noise-robust motion estimation/compensation scheme previously proposed for video denoising. The temporal filtering scheme reduces the noise level and adapts the motion compensation on it. Subsequently, we apply a spatial filter for speckle reduction in order to remove the remainder of noise in the 2D slices. In this scheme the spatial (2D) speckle-nature of noise in OCT is modeled and used for spatially adaptive denoising. Both the temporal and the spatial filter are wavelet-based techniques, where for the temporal filter two resolution scales are used and for the spatial one four resolution scales. 
The evaluation of the proposed denoising approach is done on demodulated 3D OCT images on different sources and of different resolution. For optimizing the parameters for best denoising performance fantom OCT images were used. The denoising performance of the proposed method was measured in terms of SNR, edge sharpness preservation and contrast-to-noise ratio. A comparison was made to the state-of-the-art methods for noise reduction in 2D OCT images, where the proposed approach showed to be advantageous in terms of both objective and subjective quality measures.},
  articleno    = {66960P},
  author       = {Zlokolica, Vladimir and Jovanov, Ljubomir and Pizurica, Aleksandra and De Keyser, Paul and Dhaenens, Frans and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Tescher, AG},
  issn         = {0277-786X},
  keyword      = {wavelets,3D OCT,denoising,SPECKLE REDUCTION,ALGORITHM,FILTER,NOISE},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {11},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Wavelet-based denoising for 3D OCT images},
  url          = {http://dx.doi.org/10.1117/12.734286},
  volume       = {6696},
  year         = {2007},
}

Chicago
Zlokolica, Vladimir, Ljubomir Jovanov, Aleksandra Pizurica, Paul De Keyser, Frans Dhaenens, and Wilfried Philips. 2007. “Wavelet-based Denoising for 3D OCT Images.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. AG Tescher. Vol. 6696. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Zlokolica, V., Jovanov, L., Pizurica, A., De Keyser, P., Dhaenens, F., & Philips, W. (2007). Wavelet-based denoising for 3D OCT images. In A. Tescher (Ed.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 6696). Presented at the Conference on Applications of Digital Image Processing XXX, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Zlokolica V, Jovanov L, Pizurica A, De Keyser P, Dhaenens F, Philips W. Wavelet-based denoising for 3D OCT images. In: Tescher A, editor. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2007.
MLA
Zlokolica, Vladimir, Ljubomir Jovanov, Aleksandra Pizurica, et al. “Wavelet-based Denoising for 3D OCT Images.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. AG Tescher. Vol. 6696. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2007. Print.