5 March 2015 Multiframe denoising of high-speed optical coherence tomography data using interframe and intraframe priors
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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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Liheng Bian, Liheng Bian, Jinli Suo, Jinli Suo, Feng Chen, Feng Chen, Qionghai Dai, Qionghai Dai, } "Multiframe denoising of high-speed optical coherence tomography data using interframe and intraframe priors," Journal of Biomedical Optics 20(3), 036006 (5 March 2015). https://doi.org/10.1117/1.JBO.20.3.036006 . Submission:
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