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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Performance Evaluation of Rician Noise Reduction Algorithm in Magnetic Resonance Images

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Author Milindkumar V. Sarode, Dr.Prashant R. Deshmukh
ISSN 2079-8407
On Pages 39-44
Volume No. 2
Issue No. Special Issue
Issue Date February 01, 2011
Publishing Date February 01, 2011
Keywords Recian noise, Speckle noise, Denoising. Signal-to noise ratio, MRI (magnetic Resonance Images).


Abstract

The objective of this paper is to introduce an estimation of the noise in the Magnetic Resonance images. We propose a method for Rician noise reduction. This method shows an optimal estimation result that is more accurate in recovering the true signal from Rician noise. The method proposed specifically for Rician noise reduction, but because Rician noise can be approximated to Gaussian when SNR is high, therefore, we expect the proposed algorithm also has advantage in denoising of complex MR images. 

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