Title :
An Efficient Denoising Procedure for Magnetic Resonance Imaging
Author :
Yu, Hancheng ; Zhao, Li
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing
Abstract :
An efficient denoising procedure for magnetic resonance imaging is presented. It is well known that the noise in magnetic resonance imaging has a Rician distribution. Unlike additive Gaussian noise, Rician noise is signal dependent, and separating signal from noise is a difficult task. This paper presents an iterative method based on wavelet shrinkage for Rician noise removal. Experiments show that the proposed method better suppresses noise and preserves edges than other magnetic resonance image denoising methods.
Keywords :
biomedical MRI; image denoising; iterative methods; medical image processing; wavelet transforms; Rician distribution; Rician noise removal; image denoising procedure; iterative method; magnetic resonance imaging; noise suppression; wavelet shrinkage; Additive noise; Additive white noise; Gaussian noise; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Noise reduction; Rician channels; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.990
