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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Updated: May 20, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
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MRI4ALL: A Week-Long Hackathon for the Development of an Open-Source Ultra-Low-Field MRI System.

Kai Tobias Block1,2, Chengtong Zhang3, Vito Ciancia4

  • 1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA.

Journal of Magnetic Resonance Imaging : JMRI
|March 25, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a functional low-field MRI scanner in one week during the MRI4ALL hackathon. This open-source project provides a low-cost platform for MRI education and future development.

Keywords:
hackathonlow‐field MRIopen‐sourcereproducible research

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Open-Source Hardware

Background:

  • Developing accessible Magnetic Resonance Imaging (MRI) technology is crucial for broader adoption.
  • Hackathons provide intensive, collaborative environments for rapid prototyping and innovation.

Purpose of the Study:

  • To construct a functional low-field MRI scanner within a one-week hackathon.
  • To release all associated source code and resources as open-source packages.
  • To create a low-cost platform for MRI education and prototyping.

Main Methods:

  • Assembled a low-field MRI scanner (43 mT B0 field, 11 cm³ FOV) using a Halbach array of permanent magnets and 3D-printed components.
  • Fabricated gradient and RF coils using 3D printing and Litz wire.
  • Utilized a Red Pitaya FPGA board with the MaRCoS framework for scanner control and a GPA-FHDO amplifier for gradient amplification.
  • Developed Python-based console software with a GUI using PyPulseq for sequence calculations and scanner operation.

Main Results:

  • Successfully assembled and operated a functional low-field MRI scanner capable of acquiring MR images.
  • Resolved technical challenges during assembly to achieve operational status.
  • The scanner includes a cooling system and shimming options.

Conclusions:

  • The MRI4ALL hackathon successfully produced a functional, open-source low-field MRI scanner.
  • The scanner is suitable for educational purposes and as a low-cost prototyping platform.
  • The project serves as a reference design for future MRI development, with all resources available at mri4all.org.