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Related Experiment Video

Updated: Jun 20, 2026

Cardiac Magnetic Resonance Imaging at 7 Tesla

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

Development and implementation of an 84-channel matrix gradient coil.

Sebastian Littin¹, Feng Jia¹, Kelvin J Layton²

¹Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Magnetic Resonance in Medicine

|April 27, 2017

Summary

A novel gradient coil system was developed for flexible spatial encoding magnetic fields (SEMs) generation. This system enables advanced MRI techniques by producing both linear and nonlinear encoding fields with minimal eddy currents.

Keywords:

gradient coil hardware design nonlinear encoding shim coil

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Area of Science:

Magnetic Resonance Imaging (MRI)
Gradient Coil Design
Biomedical Engineering

Background:

Current MRI systems have limitations in generating flexible spatial encoding magnetic fields.
There is a need for advanced gradient coil systems to enable novel imaging techniques.

Purpose of the Study:

To design, implement, and characterize a customized coil system for highly-flexible spatial encoding magnetic fields (SEMs) generation.
To develop a gradient coil capable of producing both linear and nonlinear SEMs.

Main Methods:

Designed a scaled-down, head-insert gradient coil with 84 individual elements.
Optimized element dimensions, wire layout, and mechanical design to maximize gradient strength and minimize eddy currents.
Considered manufacturing constraints during the design process.

Main Results:

A prototype matrix gradient coil with 12x7=84 elements was successfully realized and characterized.
Measured eddy currents were less than 1% of the original field.
Demonstrated the capability to generate linear and nonlinear SEMs, achieving local gradient strengths of 24-78 mT/m within a 0.22 m diameter spherical volume (DSV).

Conclusions:

A shielded matrix gradient coil system capable of flexible SEM generation was successfully designed and implemented.
This system provides a foundation for validating novel MRI techniques, particularly those utilizing nonlinear spatial encoding fields.