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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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Dispersion measurements using time-of-flight remote detection MRI.

Josef Granwehr1, Elad Harel, Christian Hilty

  • 1Materials Sciences Division, Lawrence Berkeley National Laboratory and University of California at Berkeley, Berkeley, CA 94720, USA. josef.granwehr@nottingham.ac.uk

Magnetic Resonance Imaging
|May 1, 2007
PubMed
Summary

Remote sensing techniques like nuclear magnetic resonance and magnetic resonance imaging offer insights into fluid flow and dispersion in porous media. These methods provide macroscopic data on fluid displacement and can be analyzed to determine key flow properties.

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Quantifying Mixing using Magnetic Resonance Imaging
07:33

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Published on: January 25, 2012

Area of Science:

  • Geophysics
  • Fluid Dynamics
  • Nuclear Magnetic Resonance Imaging

Background:

  • Porous media research often requires understanding fluid flow and dispersion.
  • Macroscopic measurements average out local velocity distributions, limiting detailed analysis.
  • Remote sensing techniques offer non-invasive methods for studying subsurface processes.

Purpose of the Study:

  • To describe remote detection nuclear magnetic resonance and magnetic resonance imaging experiments for studying fluid flow and dispersion in porous media.
  • To analyze experimental data using the flow propagator formalism.
  • To obtain macroscopic parameters like effective porosity, flow velocity, and dispersion coefficients.

Main Methods:

  • Utilizing nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) for remote detection.
  • Applying the Eulerian point of view (laboratory frame of reference).
  • Employing the common flow propagator formalism for data description.

Main Results:

  • Demonstrated the applicability of NMR and MRI for studying fluid flow and dispersion from a macroscopic, Eulerian perspective.
  • Showcased the analysis of experimental data to extract effective porosity and flow velocity.
  • Enabled the quantification of fluid dispersion and flow tracing within the porous medium.

Conclusions:

  • Remote sensing NMR and MRI are effective tools for characterizing fluid dynamics in porous media.
  • The flow propagator formalism provides a suitable framework for analyzing such experimental data.
  • These techniques yield valuable macroscopic parameters for understanding fluid transport in porous materials.