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Journal of Biomedical Optics • Open Access

Multiframe denoising of high-speed optical coherence tomography data using interframe and intraframe priors
Author(s): Liheng Bian; Jinli Suo; Feng Chen; Qionghai Dai

Paper Abstract

Optical coherence tomography (OCT) is an important interferometric diagnostic technique, which provides cross-sectional views of biological tissues’ subsurface microstructures. However, the imaging quality of high-speed OCT is limited by the large speckle noise. To address this problem, we propose a multiframe algorithmic method to denoise OCT volume. Mathematically, we build an optimization model which forces the temporally registered frames to be low-rank and the gradient in each frame to be sparse, under the constraints from logarithmic image formation and nonuniform noise variance. In addition, a convex optimization algorithm based on the augmented Lagrangian method is derived to solve the above model. The results reveal that our approach outperforms the other methods in terms of both speckle noise suppression and crucial detail preservation.

Paper Details

Date Published: 5 March 2015
PDF: 11 pages
J. Biomed. Opt. 20(3) 036006 doi: 10.1117/1.JBO.20.3.036006
Published in: Journal of Biomedical Optics Volume 20, Issue 3
Show Author Affiliations
Liheng Bian, Tsinghua Univ. (China)
Jinli Suo, Tsinghua Univ. (China)
Feng Chen, Tsinghua Univ. (China)
Qionghai Dai, Tsinghua Univ. (China)

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