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Laplacian based non-local means denoising of MR images with Rician noise

DSpace at IIT Bombay

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Title Laplacian based non-local means denoising of MR images with Rician noise
 
Creator BHUJLE, HV
CHAUDHURI, S
 
Subject Magnetic Resonance Imaging
Laplacian of Gaussian
Nonlocal-means
Rician noise
MAGNETIC-RESONANCE IMAGES
MAXIMUM-LIKELIHOOD-ESTIMATION
ANISOTROPIC DIFFUSION
ALGORITHM
REMOVAL
NEIGHBORHOODS
RATIO
 
Description Magnetic Resonance (MR) image is often corrupted with a complex white Gaussian noise (Rician noise) which is signal dependent. Considering the special characteristics of Rician noise, we carry out nonlocal means denoising on squared magnitude images and compensate the introduced bias. In this paper, we propose an algorithm which not only preserves the edges and fine structures but also performs efficient, denoising. For this purpose we have used a Laplacian of Gaussian (LOG) filter in conjunction with a nonlocal means filter (NLM). Further, to enhance the edges and to accelerate the filtering process, only a few similar patches have been preselected on the basis of closeness in edge and inverted mean values. Experiments have been conducted on both simulated and clinical data sets. The qualitative and quantitative measures demonstrate the efficacy of the proposed method. (C) 2013 Elsevier Inc. All rights reserved.
 
Publisher ELSEVIER SCIENCE INC
 
Date 2014-10-17T04:38:34Z
2014-10-17T04:38:34Z
2013
 
Type Article
 
Identifier MAGNETIC RESONANCE IMAGING, 31(9)1599-1610
0730-725X
1873-5894
http://dx.doi.org/10.1016/j.mri.2013.07.001
http://dspace.library.iitb.ac.in/jspui/handle/100/15969
 
Language en