4.3 Article

Estimation of pore size in a microstructure phantom using the optimised gradient waveform diffusion weighted NMR sequence

期刊

JOURNAL OF MAGNETIC RESONANCE
卷 214, 期 -, 页码 51-60

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmr.2011.10.004

关键词

Axon diameter; Microstructure imaging; Generalised gradient waveform; Diffusion MR; Oscillating gradients; Pore size; Microcapillary fibres; PGSE; OGSE; ActiveAx

资金

  1. EPSRC [EP/G007748/1] Funding Source: UKRI
  2. Engineering and Physical Sciences Research Council [EP/G007748/1] Funding Source: researchfish

向作者/读者索取更多资源

There has been increasing interest in nuclear magnetic resonance (NMR) techniques that are sensitive to diffusion of molecules containing NMR visible nuclei for the estimation of microstructure parameters. A microstructure parameter of particular interest is pore radius distribution. A recent in silico study optimised the shape of the gradient waveform in diffusion weighted spin-echo experiments for estimating pore size. The study demonstrated that optimised gradient waveform (GEN) protocols improve pore radius estimates compared to optimised pulse gradient spin-echo (PGSE) protocols, particularly at shorter length scales. This study assesses the feasibility of implementing GEN protocols on a small bore 9.4 T scanner and verifies their additional sensitivity to pore radius. We implement GEN and PGSE protocols optimised for pore radii of 1, 2.5, 5, 7.5, 10 mu m and constrained to maximum gradient strengths of 40, 80, 200 mT m(-1). We construct microstructure phantoms, which have a single pore radius for each phantom, using microcapillary fibres. The measured signal shows good agreement with simulated signal, strongly indicating that the GEN waveforms can be implemented on a 9.4 T system. We also demonstrate that GEN protocols provide improved sensitivity to the smaller pore radii when compared to optimised PGSE protocols, particularly at the lower gradient amplitudes investigated in this study. Our results suggest that this improved sensitivity of GEN protocols would be reflected in clinical scenarios. (C) 2011 Elsevier Inc. All rights reserved.

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