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Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
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Encoding and readout strategies in magnetic resonance elastography.

Christian Guenthner1, Sebastian Kozerke1

  • 1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.

NMR in Biomedicine
|May 29, 2018
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Summary

Magnetic resonance elastography (MRE) advancements improve imaging efficiency and quality. This review unifies MRE techniques for comparative assessment, enhancing diagnostic capabilities.

Keywords:
elasticity imagingfast imagingmagnetic resonance elastography (MRE)motion encodingphase-to-noise ratiopulse-sequence designreduced data acquisitionsignal-to-noise ratio

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Magnetic resonance elastography (MRE) has undergone significant development.
  • Advances in gradient design and readout strategies have boosted encoding and signal-to-noise ratio (SNR) efficiencies.
  • These improvements enable higher spatial resolution, increased coverage, and reduced scan times.

Purpose of the Study:

  • To provide a unified mathematical framework for MRE wave-encoding and readout approaches.
  • To comparatively assess the encoding and SNR efficiency of various MRE methods.
  • To summarize and contextualize advanced MRE techniques.

Main Methods:

  • Review of standard full- and fractional-wave-encoding techniques.
  • Inclusion of advanced methods: flow compensation, sample interval modulation, multi-shot encoding.
  • Summary of signal readout strategies: fast k-space trajectories, reduced field of view, multi-slice, undersampling.

Main Results:

  • A unified framework for comparing MRE encoding and readout efficiencies.
  • Identification of trade-offs between spatial resolution, coverage, and scan time.
  • Evaluation of advanced techniques for improved MRE performance.

Conclusions:

  • MRE technology continues to evolve with sophisticated encoding and readout strategies.
  • Comparative assessment facilitates the selection of optimal MRE methods for specific applications.
  • Exploration of displacement and diffusion encoding as future directions in MRE.