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Related Concept Videos

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Updated: May 18, 2026

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

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Published on: September 2, 2016

NMR-based diffusion pore imaging.

Frederik Bernd Laun1, Tristan Anselm Kuder, Andreas Wetscherek

  • 1Medical Physics in Radiology, German Cancer Research Center, DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Nuclear magnetic resonance (NMR) diffusion experiments can now image pores by interpreting diffusion as an imaging process. This technique reveals pore structures and coherence without phase measurement, despite potential artifacts.

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Last Updated: May 18, 2026

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
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Published on: September 2, 2016

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Area of Science:

  • Physics
  • Materials Science
  • Chemical Engineering

Background:

  • Nuclear magnetic resonance (NMR) diffusion experiments are sensitive to diffusion-restricting boundaries.
  • Previous work introduced the concept of interpreting diffusion experiments as NMR imaging.
  • This allows for the acquisition of images of closed pores based on spin diffusion.

Purpose of the Study:

  • To provide an in-depth description of the diffusion pore imaging technique.
  • To analyze image artifacts and their origins.
  • To explore methods for obtaining information on pore structure and coherence.

Main Methods:

  • Interpreting NMR diffusion experiments as NMR imaging experiments.
  • Analyzing image artifacts arising from gradient profiles, field inhomogeneities, and surface relaxation.
  • Investigating the relationship between boundary structure and the imaginary part of the diffusion-weighted signal.

Main Results:

  • Diffusion pore imaging can generate images of closed pores.
  • Finite gradient durations cause blurring and edge enhancement; field inhomogeneities have minimal impact; surface relaxation leads to image shrinkage and shifts.
  • Information on pore coherence can be extracted from the imaginary part of the signal, without phase measurement.
  • Arbitrary gradient profiles are suitable for diffusion pore imaging.

Conclusions:

  • The diffusion pore imaging technique offers a novel approach to visualize pore structures using NMR.
  • Understanding and mitigating image artifacts is crucial for accurate pore imaging.
  • The method provides insights into pore coherence and boundary structures, enhancing the utility of NMR diffusion experiments.