Research Papers

Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform

[+] Author Affiliations
Shahab Chitchian, Michael A. Fiddy

University of North Carolina at Charlotte, Department of Physics and Optical Science, Charlotte, North Carolina 28223

Nathaniel M. Fried

University of North Carolina at Charlotte, Department of Physics and Optical Science, Charlotte, North Carolina 28223 andJohns Hopkins Medical Institutions, Department of Urology, Baltimore, Maryland 21287

J. Biomed. Opt. 14(1), 014031 (February 19, 2009). doi:10.1117/1.3081543
History: Received October 01, 2008; Revised December 09, 2008; Accepted December 31, 2008; Published February 19, 2009
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The dual-tree complex wavelet transform (CDWT) is a relatively recent enhancement to the discrete wavelet transform (DWT), with important additional properties. It is nearly shift-invariant and directionally selective in two and higher dimensions. In this letter, a locally adaptive denoising algorithm is applied to reduce speckle noise in time-domain optical coherence tomography (OCT) images of the prostate. The algorithm is illustrated using DWT and CDWT. Applying the CDWT provides improved results for speckle noise reduction in OCT images. The cavernous nerve and prostate gland can be separated from discontinuities due to noise, and image quality metrics improvements with a signal-to-noise ratio increase of 14dB are attained.

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© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Shahab Chitchian ; Michael A. Fiddy and Nathaniel M. Fried
"Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform", J. Biomed. Opt. 14(1), 014031 (February 19, 2009). ; http://dx.doi.org/10.1117/1.3081543


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