NDLI: Rician noise removal in MR images using an adaptive trilateral filter

Content Provider	IEEE Xplore Digital Library
Author	Herng-Hua Chang Tung-Ju Hsieh Yun-Ni Ting Woei-Chyn Chu
Copyright Year	2011
Description	Author affiliation: Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, Daan 10617 Taipei, Taiwan (Herng-Hua Chang) \|\| Institute of Biomedical Engineering, National Yang-Ming University, Beitou 112 Taipei, Taiwan (Tung-Ju Hsieh; Yun-Ni Ting; Woei-Chyn Chu)
Abstract	Noise removal in MR images has been challenging due to the unpleasant noise with a Rician distribution, which is signal dependent. Denoising of MR images is of importance for subsequent diagnoses and analyses, such as tissue classification, segmentation, and registration. We propose a post-acquisition denoising algorithm to adequately and adaptively remove the random fluctuations and bias introduced by Rician noise. The proposed filter consists of geometric, radiometric, and median-metric components that replaces the intensity value with an weighted average between neighboring pixels associated with an entropy function. In addition, a parameter automation mechanism is proposed to reduce the burden of laborious interventions through a fuzzy membership function, which adaptively responses to local intensity difference. Quantitatively and qualitatively experimental results indicate that this new filter outperformed several existing methods in providing greater noise reduction and clearer structure boundaries in a variety of MR images.
Starting Page	467
Ending Page	471
File Size	1437710
Page Count	5
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098281
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	trilateral filter PSNR Noise reduction MRI Image restoration Rician noise denoising Anisotropic magnetoresistance anisotropic diffusion filter Rician channels Radiometry fuzzy bilateral filter
Content Type	Text
Resource Type	Article

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