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Effect of spiral undersampling patterns on FISP MRF parameter maps.

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Summary
This summary is machine-generated.

Undersampling artifacts in Magnetic Resonance Fingerprinting (MRF) can cause spatial biases. Optimizing spiral sampling trajectories significantly improves MRF quantitative accuracy and pattern matching, as demonstrated in simulations and experiments.

Keywords:
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Area of Science:

  • Medical Imaging
  • Biophysics
  • Quantitative MRI

Background:

  • Undersampling artifacts in Magnetic Resonance Fingerprinting (MRF) can complicate pattern matching and affect quantitative results.
  • The impact of temporal variations in sampling trajectories on these artifacts requires detailed investigation.

Purpose of the Study:

  • To estimate the effect of undersampling artifacts on quantitative Magnetic Resonance Fingerprinting (MRF) results.
  • To examine the influence of spiral sampling trajectories and their temporal variations on artifact generation.

Main Methods:

  • Characterized aliasing artifacts resulting from sampling trajectories and their temporal variations.
  • Evaluated temporal rearrangements of sampling trajectories using simulations, phantom scans, and a volunteer brain scan.

Main Results:

  • Specific temporal variations in sampling patterns were found to induce spatial biases in MRF parameter maps.
  • Derived performance indicators validated observed effects and guided the development of improved MRF sampling patterns.

Conclusions:

  • The developed simulation framework enables the investigation and enhancement of MRF implementations.
  • A significantly improved interleaving scheme for spiral Fast Imaging with Steady-State Free Precession (FISP) MRF was identified and experimentally confirmed.