2009
DOI: 10.1063/1.3082078
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A general framework to quantify the effect of restricted diffusion on the NMR signal with applications to double pulsed field gradient NMR experiments

Abstract: Based on a description introduced by Robertson, Grebenkov recently introduced a powerful formalism to represent the diffusion-attenuated NMR signal for simple pore geometries such as slabs, cylinders, and spheres analytically. In this work, we extend this multiple correlation function formalism by allowing for possible variations in the direction of the magnetic field gradient waveform. This extension is necessary, for example, to incorporate the effects of imaging gradients in diffusion-weighted NMR imaging s… Show more

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Cited by 102 publications
(162 citation statements)
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“…In recent years, several approaches have been proposed to quantify non-Gaussian [31][32][33][34][35] and AD processes in heterogeneous systems [8,13,14,[18][19][20][36][37][38][39][40][41]. In this paper, for the first time, we show and compare anomalous subdiffusive Mα maps together with anomalous pseudo-superdiffusion Mγ and conventional MD maps obtained from the same samples (controlled phantom and excised brain tissues).…”
Section: Resultsmentioning
confidence: 97%
“…In recent years, several approaches have been proposed to quantify non-Gaussian [31][32][33][34][35] and AD processes in heterogeneous systems [8,13,14,[18][19][20][36][37][38][39][40][41]. In this paper, for the first time, we show and compare anomalous subdiffusive Mα maps together with anomalous pseudo-superdiffusion Mγ and conventional MD maps obtained from the same samples (controlled phantom and excised brain tissues).…”
Section: Resultsmentioning
confidence: 97%
“…The first was intended to show how the developed method performed in situations where the analytical solution was available [6], whereas the second presented a real application based on experimental data [5]. These examples were chosen between many others just to show the capabilities of the FE formulation in concrete situations.…”
Section: Second Order Numerical Schemementioning
confidence: 99%
“…To show the versatility of the numerical framework, we simulated the last experiment reported in [5]. It consists in the application of a dPGSE sequence (δ 1 = δ 2 = 4.5 ms, ∆ 1 = ∆ 2 = 40 ms, t m = 0 s, g x = g y = 67.3, 125.3, 202.0, and 375.7 mT /m, g z = 0) perpendicular to impermeable cylindrical microcapillaries of inner diameter 10 ± 1 µm, oriented in the z direction, and centred in the origin.…”
Section: Cylinder With Dpgse Sequencementioning
confidence: 99%
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