Quantifying uncertainty in NMR T 2 spectra using Monte Carlo inversion

Relaxation and diffusion data are often analyzed using a Laplace inversion algorithm that incorporates regularization. Regularization is used because Laplace inversion with finite and noisy data is an ill-conditioned problem for which many solutions exist for a given data set. This paper reports a d...

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Vydané v:	Journal of magnetic resonance (1997) Ročník 196; číslo 1; s. 54 - 60
Hlavní autori:	Prange, Michael, Song, Yi-Qiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 2009
Predmet:	Diffusion Laplace inversion Monte Carlo Relaxation Uncertainty Relaxation Uncertainty Monte Carlo Diffusion Laplace inversion
ISSN:	1090-7807, 1096-0856
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