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Effect of spiral undersampling patterns on FISP MRF parameter maps

Gregor Körzdörfer1, Josef Pfeuffer2, Thomas Kluge2

  • 1Siemens Healthcare, Erlangen, Germany; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Magnetic Resonance Imaging
|January 18, 2019
PubMed
Abstract

Insights

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.

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.
Keywords:
Magnetic Resonance FingerprintingQuantitative MRISpiral imaging

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