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An integrated target field framework for point-of-care halbach array low-field MRI system design
Bart de Vos1, Rob F Remis2, Andrew G Webb3,2
1C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, Netherlands. b.de_vos@lumc.nl.
Magma (New York, N.Y.)
|May 19, 2023
Summary
A new framework designs low-cost, low-field Magnetic Resonance Imaging (MRI) systems efficiently. This iterative approach optimizes magnet, gradient, and RF coils for specific imaging needs within minutes.
Area of Science:
- Medical Imaging
- Biophysics
- Electrical Engineering
Background:
- Low-cost, low-field Magnetic Resonance Imaging (MRI) systems are crucial for point-of-care diagnostics.
- Diverse applications necessitate tailored system designs regarding field-of-view, resolution, and magnetic field strength.
Purpose of the Study:
- To develop an iterative framework for designing cylindrical Halbach-based magnets with integrated gradient and RF coils.
- To efficiently meet user-specified imaging requirements for low-field MRI systems.
Main Methods:
- Utilized target field methods for magnet, gradient, and RF coil design for efficient integration.
- Derived a novel mathematical model for magnet design, previously unused in this context.
- Developed a framework capable of designing a complete low-field MRI system rapidly on standard hardware.
Main Results:
- Successfully designed two distinct point-of-care MRI systems: one for neuroimaging and another for extremity imaging.
- Input parameters were sourced from existing literature, and the resulting system designs were analyzed in detail.
Conclusions:
- The framework enables optimization of hardware components (magnet, gradient, RF coils) based on desired imaging parameters.
- It accounts for interdependencies between components, providing insights into design choices for low-field MRI systems.

