Title :
NMR signal enhancement via a new time-frequency transform
Author :
Ahmed, Osama A. ; Fahmy, Moustafa M.
Author_Institution :
Res. Inst., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, a reliable method to reduce the noise from nuclear magnetic resonance (NMR) signals using a recently developed linear critically sampled time-frequency transform is proposed. In addition to its low computational requirements, this transform has many theoretical advantages that make it a good candidate for NMR signal enhancement. NMR signals in the transform domain are concentrated in a few coefficients while the noise is well distributed. Performing a thresholding technique in the transform domain, therefore, significantly enhances the signal. A comparison with other signal enhancement techniques shows that this technique has a superior performance, thus confirming the theoretical expectations.
Keywords :
NMR spectroscopy; biomedical NMR; medical signal processing; time-frequency analysis; wavelet transforms; NMR signal enhancement; linear critically sampled time-frequency transform; low computational requirements; thresholding technique; transform domain; Biological system modeling; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Noise reduction; Nuclear magnetic resonance; Parameter estimation; Spectroscopy; Time frequency analysis; Wavelet transforms; Algorithms; Fourier Analysis; Magnetic Resonance Spectroscopy; Signal Processing, Computer-Assisted; Time and Motion Studies;
Journal_Title :
Medical Imaging, IEEE Transactions on