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Journal of Biomedical Optics • Open Access

Retinal optical coherence tomography image enhancement via shrinkage denoising using double-density dual-tree complex wavelet transform
Author(s): Shahab Chitchian; Markus A. Mayer; Adam Boretsky; Frederik J. van Kuijk; Massoud Motamedi

Paper Abstract

Image enhancement of retinal structures, in optical coherence tomography (OCT) scans through denoising, has the potential to aid in the diagnosis of several eye diseases. In this paper, a locally adaptive denoising algorithm using double-density dual-tree complex wavelet transform, a combination of the double-density wavelet transform and the dual-tree complex wavelet transform, is applied to reduce speckle noise in OCT images of the retina. The algorithm overcomes the limitations of commonly used multiple frame averaging technique, namely the limited number of frames that can be recorded due to eye movements, by providing a comparable image quality in significantly less acquisition time equal to an order of magnitude less time compared to the averaging method. In addition, improvements of image quality metrics and 5 dB increase in the signal-to-noise ratio are attained.

Paper Details

Date Published: 1 November 2012
PDF: 4 pages
J. Biomed. Opt. 17(11) 116009 doi: 10.1117/1.JBO.17.11.116009
Published in: Journal of Biomedical Optics Volume 17, Issue 11
Show Author Affiliations
Shahab Chitchian, The Univ. of Texas Medical Branch (United States)
Markus A. Mayer, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Adam Boretsky, The Univ. of Texas Medical Branch (United States)
Frederik J. van Kuijk, Univ. of Minnesota (United States)
Massoud Motamedi, The Univ. of Texas Medical Branch (United States)


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