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Characterization of Portable Ultra-Low Field MRI Scanners for Multi-Center Structural Neuroimaging.

Emil Ljungberg1,2, Francesco Padormo3, Megan Poorman3

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Portable ultra-low field MRI (ULF-MRI) systems show robust image quality across diverse global settings. This neuroimaging network

Keywords:
multi‐centerneuroimagingphantomquality controlultra‐low field MRI

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Area of Science:

  • Neuroimaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Portable ultra-low field MRI (ULF-MRI) systems offer accessible neuroimaging in varied environments like ICUs and remote locations.
  • The UNITY Project is an international network deploying ULF-MRI for brain development studies, necessitating quality assessment across global sites.

Purpose of the Study:

  • To introduce and apply a quality control (QC) framework for portable ULF-MRI systems used by the UNITY Project.
  • To assess the robustness of ULF-MRI systems and compare QC metrics across different international sites and over time.

Main Methods:

  • A standardized QC framework was implemented using a commercial phantom scanned on 64 mT portable MRI systems.
  • Data was collected from 17 sites across 12 countries on four continents.
  • Automated, open-source tools quantified signal-to-noise ratio, image contrast, and geometric distortions.

Main Results:

  • ULF-MRI image quality demonstrated robustness despite varying environmental factors like electromagnetic interference and temperature.
  • Larmor frequency showed significant correlation with room temperature, impacting image noise and contrast.
  • Geometric distortions remained below 2.5 mm, exhibiting high temporal stability. Software updates impacted QC metrics, similar to higher-field MRI.

Conclusions:

  • Portable ULF-MRI systems are suitable for multi-center neuroimaging studies in diverse global environments.
  • The developed QC framework confirms the robustness and reliability of ULF-MRI for international research, including studies on brain development.