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Repeatability of 3D MR fingerprinting during scanner software upgrades.

Andrew Dupuis1, Yong Chen2, Kelvin Chow3

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Summary

Magnetic Resonance Fingerprinting (MRF) maintains consistent T1 and T2 values after scanner software upgrades. This ensures reliable performance for longitudinal studies, highlighting the importance of vendor collaboration and systematic evaluation.

Keywords:
Automated analysisQuality assuranceQuantitative imagingReproducibilitySystem standardization

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Area of Science:

  • Medical Imaging
  • Quantitative MRI

Background:

  • Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI technique.
  • Scanner software upgrades can alter hardware specifications and reconstruction parameters, potentially affecting MRF-derived quantitative values.
  • Ensuring consistency of MRF data across software versions is critical for its clinical application and longitudinal studies.

Purpose of the Study:

  • To quantify the repeatability of a 3D MRF research protocol following a scanner software upgrade.
  • To assess the impact of vendor-provided software updates on MRF-derived T1 and T2 values.
  • To establish the reliability of 3D MRF for consistent data acquisition in diverse settings.

Main Methods:

  • Eight healthy volunteers underwent 3D MRF imaging on a 3T scanner before and after a software upgrade (VA31A to VA50A).
  • Online MRF reconstruction involved Singular Value Decomposition (SVD) and B1+ correction.
  • Test-retest repeatability was assessed, and pre- vs. post-upgrade data were compared using T1 and T2 values from the Harvard-Oxford Subcortical Structural Atlas.

Main Results:

  • Initial significant mismatches in T1 and T2 values were observed post-upgrade.
  • Following vendor communication, the 3D MRF sequence demonstrated consistent repeatability.
  • Intra-version test-retest variability was 1.16 ± 3.18% (T1) and 0.54 ± 4.84% (T2).
  • Cross-version (pre- vs. post-upgrade) variability was 0.83 ± 3.68% (T1) and 0.05 ± 5.81% (T2).

Conclusions:

  • Reliable performance of 3D MRF protocols across software upgrades is achievable.
  • Detailed evaluation and vendor collaboration are essential for maintaining consistency.
  • These findings support the use of MRF in longitudinal studies and underscore the need for systematic assessments after system modifications.