Title :
New denoising scheme for magnetic resonance spectroscopy signals
Author_Institution :
Hail Community Coll., King Fahd Univ. of Pet. & Miner.s, Dhahran, Saudi Arabia
fDate :
6/1/2005 12:00:00 AM
Abstract :
A new scheme for denoising magnetic resonance spectroscopy (MRS) signals is presented. This scheme is based on projecting noisy MRS signals in different domains, consecutively, and performing noise filtering operations in these domains. The domains are chosen such that the noise portion, which is inseparable from the desired signal in one domain, is separable in the other. A set of stable, linear, time-frequency (SLTF) transforms with different resolutions was selected for these projections as an example. Scheme evaluation was performed using extensive MRS signals with various noise levels. Compared with one domain denoising, it was observed that the proposed scheme gives superior results that compensate for the excess computational requirements. The proposed scheme supersedes also the wavelet packet denoising schemes.
Keywords :
biomedical MRI; filtering theory; image denoising; image resolution; medical image processing; time-frequency analysis; magnetic resonance spectroscopy signals; noise filtering; stable linear time-frequency transforms; wavelet packet denoising; Filtering; Magnetic noise; Magnetic resonance; Magnetic separation; Noise level; Noise reduction; Performance evaluation; Signal resolution; Spectroscopy; Time frequency analysis; Magnetic resonance spectroscopy; signal enhancement; time-frequency analysis; wavelet packet; wavelet transforms; Algorithms; Computer Simulation; Magnetic Resonance Spectroscopy; Models, Chemical; Models, Statistical; Stochastic Processes;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2004.828350