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Proceedings Paper

Wavelet decomposition for speckle reduction with feature preservation in optical coherence tomography
Author(s): Evgenia Bousi; Panayiotis Ioannides; Costas Pitris
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Paper Abstract

Optical Coherence Tomography (OCT) images exhibit the effects of speckle which can make image interpretation and quantitative measurements difficult. Many approaches have been developed to reduce this speckle including both hardware implementations and post-processing techniques. However, they either suffer from a loss in resolution and blurring of the image or an increase in complexity and reduction in speed of the system. Wavelet decomposition has been shown to effectively separate the resolvable features of an image from the speckle pattern. The two components can then be processed separately. The speckle pattern can be filtered and then recombined with the resolvable component to create an image with improved signal-to-noise-ratio (SNR) and intact image details. The results of this algorithm are demonstrated on in vivo OCT images of skin taken with a swept-source based system. Such a technique, when applied, for example, to OCT images of disease, can be extremely useful in improving the clinical interpretation of the images as well as allowing more accurate quantitative measurements not affected by the presence of speckle.

Paper Details

Date Published: 4 March 2014
PDF: 6 pages
Proc. SPIE 8934, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, 893439 (4 March 2014); doi: 10.1117/12.2042033
Show Author Affiliations
Evgenia Bousi, Univ. of Cyprus (Cyprus)
Panayiotis Ioannides, Univ. of Cyprus (Cyprus)
Costas Pitris, Univ. of Cyprus (Cyprus)

Published in SPIE Proceedings Vol. 8934:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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