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Magnetic Resonance Imaging01:24

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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
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Rethinking MRI as a measurement device through modular and portable pipelines.

Agah Karakuzu1,2, Nadia Blostein3, Alex Valcourt Caron4

  • 1NeuroPoly Lab, Polytechnique Montreal, Montreal, Québec, Canada.

Magma (New York, N.Y.)
|April 24, 2025
PubMed
Summary
This summary is machine-generated.

Open-source MRI pipelines enhance measurement reliability by reducing variability. This promotes accurate quantitative imaging biomarkers (QIBs) for better clinical translation.

Keywords:
MRI workflowsMetrologyQuantitative MRIReproducibilityStandardizationVendor-neutral

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Open Science

Background:

  • Magnetic Resonance Imaging (MRI) faces challenges in reliable measurement due to proprietary systems and inconsistent implementations.
  • This inconsistency leads to systematic variance in biomedical studies, hindering the clinical translation of quantitative imaging biomarkers (QIBs).

Purpose of the Study:

  • To explore the benefits of open-source measurement pipelines in minimizing variability in MRI.
  • To introduce a framework for benchmarking MRI workflows and a glossary for reproducibility strategies.

Main Methods:

  • A tiered benchmarking framework (black-box to glass-box) was developed to assess measurement uncertainty propagation.
  • Two modular and portable MRI measurement workflows were presented as practical implementation guides.
  • A glossary of terms was provided to standardize strategies for reproducibility and post-hoc data pooling.

Main Results:

  • The proposed framework exposes how workflow opacity contributes to measurement uncertainty.
  • Illustrative workflows demonstrate how to decouple logic from computational processes for improved MRI pipelines.
  • Standardized workflows can identify challenges in translating advanced frameworks to clinical settings.

Conclusions:

  • Open-source MRI measurement pipelines are crucial for minimizing variability and establishing measurement uncertainties.
  • Consistent terminology and standardized workflows are essential for enhancing the reproducibility and clinical translation of QIBs.
  • Collaborative efforts among developers, regulators, industry, and clinicians are needed to advance glass-box MRI frameworks in clinical practice.