An Adaptive Denoising Method Used in MRI

Huaizhong Zhang, Xianghua Xie

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review


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.
Original languageEnglish
Title of host publicationNot Known
Publication statusPublished - 31 Jul 2014
Event11th International Symposium on Biomedical Imaging (ISBI) - Beijing, China
Duration: 29 Apr 20142 May 2014


Conference11th International Symposium on Biomedical Imaging (ISBI)


Dive into the research topics of 'An Adaptive Denoising Method Used in MRI'. Together they form a unique fingerprint.

Cite this