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Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
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Nexus: A versatile console for advanced low-field MRI.

David Schote1, Berk Silemek1, Thomas O'Reilly2

  • 1Department 8.1 - Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.

Magnetic Resonance in Medicine
|January 27, 2025
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Summary
This summary is machine-generated.

We developed a low-cost, open-source console for low-field magnetic resonance imaging (MRI) that matches commercial system image quality. This versatile Nexus console integrates auxiliary sensors for improved performance and customization.

Keywords:
EMI mitigationMR consolelow‐field MRIopen sourcesensors

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Open-Source Technology

Background:

  • Low-field MRI systems require cost-effective and versatile consoles.
  • Integration of auxiliary sensors can enhance MRI performance and monitoring.
  • Existing commercial consoles can be expensive and lack flexibility.

Purpose of the Study:

  • To develop a low-cost, high-performance, and versatile open-source console for low-field MRI.
  • To enable integration of various auxiliary sensors for advanced applications.
  • To provide a customizable platform adhering to open-source standards.

Main Methods:

  • A new MR console with four transmit and eight receive channels was developed.
  • An open-source software package in Python was implemented with native Pulseq and ISMRM support.
  • The system was benchmarked against a state-of-the-art commercial system, demonstrating auxiliary sensor integration.

Main Results:

  • The Nexus console achieved image quality comparable to a commercial system for proton density-weighted and T2-weighted brain imaging.
  • Auxiliary channels were utilized for system monitoring (RF pulses, gradient currents, temperature, B0 field) and EMI detection.
  • System calibrations and EMI mitigation techniques were applied, improving image quality.

Conclusions:

  • The developed console offers high versatility, configurability, and adherence to open-source standards.
  • It provides comparable image quality to commercial systems at a substantially lower cost.
  • The open-source nature facilitates customization and integration of auxiliary sensors for low-field MRI.