Title :
Analysis of NMR relaxation data using model tissue systems
Author :
Bronskill, Michael J. ; Whittall, Kenneth P. ; Henkelman, R. Mark
Author_Institution :
Dept. of Med. Biophys., Toronto Univ., Ont., Canada
Abstract :
Previously published algorithms are applied to the analysis of simulated and experimental nuclear magnetic resonance (NMR) relaxation data for both T1 and T2 measurements. Analysis of NMR data requires the use of several different algorithms because of an inherent inability to distinguish between discrete and continuous distributions of relaxation times. The simulations are used to evaluate the algorithms´ performance when the signal-to-noise ratio (SNR) and the number and position of the data points are varied. Comparison of the different algorithms allows the SNR and number of data points required to achieve a given resolution in the spectrum. Their combined uses permits robust determination of the spectra. The results suggest that these methods have application to tissue analysis in vivo using magnetic resonance imaging
Keywords :
biomagnetism; nuclear spin-lattice relaxation; spin-spin relaxation; NMR relaxation data analysis; algorithms; in vivo using magnetic resonance imaging; model tissue systems; signal-to-noise ratio; tissue analysis; Algorithm design and analysis; Analytical models; Data analysis; Image analysis; Magnetic analysis; Nuclear magnetic resonance; Nuclear measurements; Robustness; Signal resolution; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95886
