DocumentCode :
3511876
Title :
A contrast-enhanced trilateral filter for MR image denoising
Author :
Chang, Herng-Hua ; Chiang, Ming-Chang ; Sheu, Tony W H ; Huang, Henry
Author_Institution :
Comput. Biomed. Eng. Lab. (CBEL), Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2011
fDate :
March 30 2011-April 2 2011
Firstpage :
1823
Lastpage :
1826
Abstract :
It is well known that the noise in magnetic resonance (MR) magnitude images obeys a Rician distribution. Denoising of MR images is of importance for clinical diagnosis and computerized analysis, such as tissue classification, segmentation, and registration. We propose a post-acquisition denoising algorithm in an attempt to automatically remove the random fluctuations and bias introduced by Rician noise. It replaces the intensity value on each pixel with an average value weighted by the geometric, radiometric, and median-metric components between neighboring pixels associated with an entropy function. Moreover, fuzzy functions are introduced to adaptively compute the parameters in terms of local intensity variations. The contrast-enhanced results indicate that this new filter outperformed several existing methods in providing greater noise reduction and clearer structure boundaries in MR images.
Keywords :
biomedical MRI; entropy; image resolution; medical image processing; MR image denoising; Rician noise; contrast-enhanced trilateral filter; entropy function; fuzzy functions; local intensity variations; median-metric components; neighboring pixels; post-acquisition denoising algorithm; random fluctuations; Entropy; Image restoration; Noise reduction; PSNR; Pixel; Rician channels; MRI; Rician noise; adaptive bilateral filter; anisotropic diffusion filter; bilateral filter; denoising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2011.5872761
Filename :
5872761
Link To Document :
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