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Magnetic Resonance Imaging

Magnetic Resonance Imaging

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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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

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A unipolar head gradient for high-field MRI without encoding ambiguity.

Markus Weiger¹, Johan Overweg², Franciszek Hennel¹

¹Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Magnetic Resonance in Medicine

|September 30, 2025

Summary

This summary is machine-generated.

A novel unipolar head gradient design eliminates encoding ambiguity in magnetic resonance imaging (MRI), enhancing brain imaging at 7 Tesla and beyond. This innovation maintains high performance, crucial for advanced neuroimaging applications.

Keywords:

7 T aliasing backfolding bipolar brain MRI nerve stimulation

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Area of Science:

Medical Imaging
Physics
Biomedical Engineering

Background:

Conventional MRI gradients face performance trade-offs due to encoding ambiguity and radiofrequency selectivity.
High-field MRI (≥ 7 Tesla) and advanced head gradients exacerbate these limitations.

Purpose of the Study:

To propose and demonstrate a unipolar z-gradient design for head gradients to eliminate encoding ambiguity.
To achieve high performance comparable to conventional bipolar gradients.

Main Methods:

Implementation of a unipolar head gradient system for 7 Tesla MRI.
Testing the gradient system in phantoms and in vivo.

Main Results:

The unipolar gradient design successfully eliminated backfolding caused by encoding ambiguity.
The system demonstrated efficiency, high amplitude, and slew-rate performance equivalent to bipolar designs.

Conclusions:

Unipolar gradient systems offer a promising solution for advanced neuroimaging requiring high gradient performance.
This design is particularly beneficial for ultra-high field MRI (≥ 7T), removing key constraints in RF behavior and instrumentation.