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

Bernard Siow1, Ivana Drobnjak, Aritrick Chatterjee

  • 1Centre for Medical Image Computing, Department of Computer Science, University College London (UCL), Gower Street, London WC1E 6BT, UK. b.siow@cs.ucl.ac.uk

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|November 26, 2011
PubMed
Summary
This summary is machine-generated.

Optimized gradient waveform (GEN) protocols show improved sensitivity for estimating pore size using nuclear magnetic resonance (NMR) diffusion measurements. These GEN protocols are feasible on a 9.4 T scanner and offer enhanced pore radius estimation, especially for smaller pores.

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Area of Science:

  • Magnetic Resonance Imaging
  • Materials Science
  • Biophysics

Background:

  • Nuclear magnetic resonance (NMR) diffusion techniques are crucial for estimating microstructural parameters, particularly pore size distribution.
  • Optimized gradient waveform (GEN) protocols have shown promise in silico for improving pore radius estimation compared to traditional pulse gradient spin-echo (PGSE) methods.
  • The clinical applicability of GEN protocols hinges on their feasibility and performance on standard MRI hardware.

Purpose of the Study:

  • To assess the implementation feasibility of optimized gradient waveform (GEN) protocols on a 9.4 T small bore scanner.
  • To verify the enhanced sensitivity of GEN protocols for pore radius estimation compared to optimized pulse gradient spin-echo (PGSE) protocols.
  • To evaluate the performance of GEN protocols across a range of pore sizes and gradient strengths.

Main Methods:

  • Implementation of GEN and PGSE diffusion protocols optimized for pore radii (1-10 μm) on a 9.4 T scanner.
  • Utilization of microstructure phantoms with single pore radii constructed from microcapillary fibers.
  • Acquisition and analysis of measured NMR signals, comparing them against simulated data.

Main Results:

  • Successful implementation of GEN protocols on the 9.4 T system, with measured signals showing good agreement to simulations.
  • Demonstrated superior sensitivity of GEN protocols to smaller pore radii compared to optimized PGSE protocols.
  • Observed improved performance of GEN protocols particularly at lower gradient amplitudes (40-200 mT/m).

Conclusions:

  • GEN protocols are feasible for implementation on a 9.4 T MRI scanner.
  • GEN protocols offer enhanced sensitivity for estimating smaller pore radii compared to PGSE protocols.
  • The improved sensitivity suggests potential clinical benefits for microstructure analysis using GEN protocols.