NDLI: Denoise MRI images using sparse 3D transformation domain collaborative filtering

Content Provider	IEEE Xplore Digital Library
Author	XiangBo Lin TianShuang Qiu
Copyright Year	2011
Description	Author affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, DaLian, China (XiangBo Lin; TianShuang Qiu)
Abstract	In the present work, a recent proposed transformation domain filter algorithm (BM3D) using the sparseness and self-similarity properties of the images is presented and adapted to reduce the specific Rician distribution noise in MRI magnitude images. The proposed R-BM3D method is compared to the state-of-the-art transformation domain filter method (ODCT3D), which is proved to be superior to the blockwise nonlocal means filter, the wavelet sub-band coefficient mixing method, and the anisotropic diffusion filter. Comparative experimental results indicate that the proposed R-BM3D is quite competitive in RMSE metric, filter time and visual inspection.
Starting Page	233
Ending Page	236
File Size	799799
Page Count	4
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	sparsness denoise Magnetic resonance imaging Noise Noise reduction MRI Estimation Rician channels Three dimensional displays Noise measurement transformation domain
Content Type	Text
Resource Type	Article

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