An Adaptive Denoising Method Used in MRI

Zhang, Huaizhong and Xie, Xianghua (2014) An Adaptive Denoising Method Used in MRI. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 29/04/2014-02/05/2014, Beijing, China, pp. 501-504, ISBN 9781467319614, ISSN 1945-7928, DOI https://doi.org/10.1109/ISBI.2014.6867918.

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Abstract

This paper proposes an adaptive denoising method that can significantly reduce Rician noise in magnetic resonance imag- ing (MRI). We use a Rayleigh kernel in the denoising pro- cessing of self-snakes instead of the Gaussian kernel that is usually used. The Rayleigh kernel is adaptively constructed according to the estimated standard deviation of Rician noise in images. The numerical implementation is carried out by applying the level-set techniques with a semi-implicit scheme. Experimental results in both synthetic and real im- ages demonstrate the effectiveness and advantages of the proposed method in comparison with the traditional methods.

Item Type: Conference or Workshop Item (Proceedings)
Subjects: T Technology > T Technology (General)
Divisions: Computing and Information Systems
Date Deposited: 24 Feb 2017 16:14
URI: http://repository.edgehill.ac.uk/id/eprint/8747

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