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T2 selective π Echo-Planar Imaging for porous media MRI
1MRI Research Center, Department of Physics, University of New Brunswick, 8 Bailey Drive, Fredericton NB E3B 5A3, Canada.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|February 25, 2017
Summary
This study introduces a T2-selective imaging technique using Echo Planar Imaging (PEPI) to differentiate fluid components in porous media. The method allows for detailed T2 relaxation analysis within each voxel, enhancing imaging capabilities.
Area of Science:
- Magnetic Resonance Imaging
- Materials Science
- Physics
Background:
- Proton density imaging using Echo Planar Imaging (PEPI) can characterize fluids in porous media.
- Distinguishing multiple T2 relaxation components within image voxels is crucial for detailed analysis.
- Existing methods may lack the specificity to resolve diverse fluid properties.
Purpose of the Study:
- To explore T2-selective imaging using adiabatic inversion preparation with PEPI readout.
- To develop a method for discriminating multiple T2 components in porous media.
- To generate spatially resolved T2 distributions for enhanced characterization.
Main Methods:
- Utilized adiabatic inversion as a magnetization preparation sequence prior to PEPI readout.
- Employed Bloch equation simulations to predict responses of different species to inversion pulses.
- Acquired images with and without inversion pulses to isolate relaxation components.
- Introduced T2 weighting by adjusting spatial encoding gradients within the PEPI sequence.
- Extracted T2 decay curves voxel-wise from a series of T2-weighted images.
Main Results:
- Successfully implemented T2-selective imaging with PEPI for porous media.
- Demonstrated the ability to acquire different relaxation components by combining prepared and unprepared images.
- Generated spatially resolved T2 distributions by analyzing T2 decay curves.
- Achieved remarkable agreement between the results of the two tested methods.
Conclusions:
- The developed T2-selective PEPI method reliably discriminates multiple fluid components in porous media.
- This technique enables detailed characterization of fluid properties through spatially resolved T2 distributions.
- While reliable, the method's current implementation is noted to be slow, suggesting avenues for future optimization.
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