A new method of distinguishing weak and overlapping signals of proton magnetic resonance spectroscopy.
- Author:
Gang JIANG
1
;
Hong QUAN
;
Cheng WANG
;
Qiyong GONG
Author Information
1. School of Physics and Technology, Wuhan University, Wuhan 430072, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Computer Simulation;
Magnetic Resonance Spectroscopy;
instrumentation;
methods;
Protons;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2012;29(6):1052-1057
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, a new method of combining translation invariant (TI) and wavelet-threshold (WT) algorithm to distinguish weak and overlapping signals of proton magnetic resonance spectroscopy (1H-MRS) is presented. First, the 1H-MRS spectrum signal is transformed into wavelet domain and then its wavelet coefficients are obtained. Then, the TI method and WT method are applied to detect the weak signals overlapped by the strong ones. Through the analysis of the simulation data, we can see that both frequency and amplitude information of small-signals can be obtained accurately by the algorithm, and through the combination with the method of signal fitting, quantitative calculation of the area under weak signals peaks can be realized.
