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Optical Coherence Tomography Retinal Image Reconstruction Via Nonlocal Weighted Sparse Representation Publisher Pubmed



Abbasi A1 ; Monadjemi A1 ; Fang L2 ; Rabbani H3
Authors
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Authors Affiliations
  1. 1. University of Isfahan, Department of Artificial Intelligence, Faculty of Computer Engineering, Isfahan, Iran
  2. 2. Hunan University, College of Electrical and Information Engineering, Changsha, China
  3. 3. Isfahan University of Medical Sciences, School of Advanced Technologies in Medicine, Medical Image and Signal Processing Research Center, Department of Biomedical Engineering, Isfahan, Iran

Source: Journal of Biomedical Optics Published:2018


Abstract

We present a nonlocal weighted sparse representation (NWSR) method for reconstruction of retinal optical coherence tomography (OCT) images. To reconstruct a high signal-to-noise ratio and high-resolution OCT images, utilization of efficient denoising and interpolation algorithms are necessary, especially when the original data were subsampled during acquisition. However, the OCT images suffer from the presence of a high level of noise, which makes the estimation of sparse representations a difficult task. Thus, the proposed NWSR method merges sparse representations of multiple similar noisy and denoised patches to better estimate a sparse representation for each patch. First, the sparse representation of each patch is independently computed over an overcomplete dictionary, and then a nonlocal weighted sparse coefficient is computed by averaging representations of similar patches. Since the sparsity can reveal relevant information from noisy patches, combining noisy and denoised patches' representations is beneficial to obtain a more robust estimate of the unknown sparse representation. The denoised patches are obtained by applying an off-the-shelf image denoising method and our method provides an efficient way to exploit information from noisy and denoised patches' representations. The experimental results on denoising and interpolation of spectral domain OCT images demonstrated the effectiveness of the proposed NWSR method over existing state-of-the-art methods. © 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).
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