Research Papers: Imaging

Speckle reduction in optical coherence tomography images based on wave atoms

[+] Author Affiliations
Yongzhao Du

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

Sichuan University, Department of Opto-Electronics, No.24 South Section 1st, Yihuan Road, Chengdu 610065, China

Gangjun Liu

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

University of California, Department of Biomedical Engineering, 3120 Natural Sciences II, Irvine, California 92697-2715

Guoying Feng

Sichuan University, Department of Opto-Electronics, No.24 South Section 1st, Yihuan Road, Chengdu 610065, China

Zhongping Chen

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

University of California, Department of Biomedical Engineering, 3120 Natural Sciences II, Irvine, California 92697-2715

J. Biomed. Opt. 19(5), 056009 (May 13, 2014). doi:10.1117/1.JBO.19.5.056009
History: Received November 8, 2013; Revised March 25, 2014; Accepted April 9, 2014
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Abstract.  Optical coherence tomography (OCT) is an emerging noninvasive imaging technique, which is based on low-coherence interferometry. OCT images suffer from speckle noise, which reduces image contrast. A shrinkage filter based on wave atoms transform is proposed for speckle reduction in OCT images. Wave atoms transform is a new multiscale geometric analysis tool that offers sparser expansion and better representation for images containing oscillatory patterns and textures than other traditional transforms, such as wavelet and curvelet transforms. Cycle spinning-based technology is introduced to avoid visual artifacts, such as Gibbs-like phenomenon, and to develop a translation invariant wave atoms denoising scheme. The speckle suppression degree in the denoised images is controlled by an adjustable parameter that determines the threshold in the wave atoms domain. The experimental results show that the proposed method can effectively remove the speckle noise and improve the OCT image quality. The signal-to-noise ratio, contrast-to-noise ratio, average equivalent number of looks, and cross-correlation (XCOR) values are obtained, and the results are also compared with the wavelet and curvelet thresholding techniques.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Yongzhao Du ; Gangjun Liu ; Guoying Feng and Zhongping Chen
"Speckle reduction in optical coherence tomography images based on wave atoms", J. Biomed. Opt. 19(5), 056009 (May 13, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.5.056009


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