Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90101
Title: A two-step iteration mechanism for speckle reduction in optical coherence tomography
Authors: Wang, Xianghong
Yu, Xiaojun
Liu, Xinyu
Chen, Si
Chen, Shufen
Wang, Nanshuo
Liu, Linbo
Keywords: Optical Coherence Tomography
Image Processing
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Wang, X., Yu, X., Liu, X., Chen, S., Chen, S., Wang, N., & Liu, L. (2018). A two-step iteration mechanism for speckle reduction in optical coherence tomography. Biomedical Signal Processing and Control, 43, 86-95. doi:10.1016/j.bspc.2018.02.011
Series/Report no.: Biomedical Signal Processing and Control
Abstract: Optical coherence tomography (OCT) is an imaging tool that has been widely utilized for various disease diagnoses for its noninvasive and high-resolution properties. Due to the dual role of speckles in the imaging process, however, OCT images suffer from the unavoidable speckle noise, which is usually regarded to be multiplicative in nature and reduces image contrast and resolution. In this study, we propose to categorize OCT speckle noise into additive portion and multiplicative portion, and present a simple two-step iteration (TSI) mechanism to suppress such noises separately. With the augmented Lagrange minimization (ALM) method adopted to recover a low-rank image, the first step of TSI is to remove the additive Gaussian noise, while the second step of TSI is to suppress the multiplicative noise by employing a split Bregman method (SBM) to solve the total-variation (TV) de-noising problem. Extensive experiments with OCT images of the swine eye, human and rabbit retina are conducted to verify the effectiveness of the proposed method. Results show that the proposed TSI method outperforms the existing methods in different cases. Specifically, TSI helps improve the peak signal-to-noise ratio (PSNR) and structure similarity (SSIM) of the swine eye images from 17.19 dB to 33 dB and 0.12 to 0.92, respectively, with the important structural details well preserved. The clearer boundaries and higher image contrast obtained with the TSI method would largely facilitate image analyses and interpretations for the clinical applications of OCT systems.
URI: https://hdl.handle.net/10356/90101
http://hdl.handle.net/10220/48378
ISSN: 1746-8094
DOI: http://dx.doi.org/10.1016/j.bspc.2018.02.011
Rights: © 2018 Elsevier Ltd. All rights reserved. This paper was published in Biomedical Signal Processing and Control and is made available with permission of Elsevier Ltd.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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