Improved determination of FID signal parameters in low-field NMR.
In this work, novel methods are suggested for assessing signal parameters of the free induction decay (FID) in nuclear magnetic resonance (NMR) experiments. The FID signal was recorded in a microtesla field and analysed to determine its relaxation time, amplitude, Larmor frequency and phase. The challenge was posed by the narrow line width, whose related effects were investigated through simulations, also. The developed methods give a new view on FID signal estimation in microtesla as well as lower and higher fields. It is shown that the transverse relaxation time of a sample can be accurately determined in the frequency domain by other means than the Lorentz peak half width. Also, with some realistic approximations, a simple functional form for the power spectrum Lorentz peak shape is proposed. As shown in this work, the inspection of the power spectrum instead of the absorption and dispersion Lorentzians is advantageous in the sense that the waveform is independent of the FID phase. The automatic and efficient methods presented in this work incorporate an integral exponential fit, the fit of the power spectrum Lorentz peak and two ways to determine the FID phase. When there are sufficiently many data points in the Lorentz peak, the power spectrum Lorentz peak shape fit provides a quick, simple and accurate way of determining the amplitude, relaxation time and Larmor frequency of the FID. In the measurements of this work, however, the narrow line width led to establishing a more applicable method which is based on the exponential decay of the Lorentz peak with a temporally moving power spectrum window.
Dabek
Juhani
J
Aalto University, Department of Biomedical Engineering and Computational Science, P.O. Box 12200, FI-00076 Aalto, Finland. juhani.dabek@tkk.fi
Nieminen
Jaakko O
JO
Vesanen
Panu T
PT
Sepponen
Raimo
R
Ilmoniemi
Risto J
RJ
D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D004574:Electromagnetic Fields; D001330:Electronic Data Processing; D009682:Magnetic Resonance Spectroscopy / Q000295:instrumentation / Q000706:statistics & numerical data*; D012815:Signal Processing, Computer-Assisted; D012996:Solutions
D012996:Solutions