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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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A MOM/FEM-based coil sensitivity mapping method for high-field parallel MRI.

Jin Jin¹, Feng Liu, Yu Li

¹School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Queensland 4072, Australia. jinjin@itee.uq.edu.au

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|January 19, 2012

Summary

This summary is machine-generated.

This study introduces an electromagnetics-based inverse method for high field MRI, improving radio-frequency coil sensitivity mapping. This advanced technique reduces image artifacts by employing full-wave solutions for accurate H field evaluation.

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Area of Science:

Magnetic Resonance Imaging (MRI)
Electromagnetics
Computational Physics

Background:

Previous inverse methods for MRI sensitivity mapping were limited to low-field applications.
The Biot-Savart law, used previously, is insufficient for accurate H field calculations in high-field MRI.

Purpose of the Study:

To develop and validate an electromagnetics-based inverse sensitivity mapping method for high-field MRI.
To overcome the limitations of previous methods by employing full-wave solutions for H field evaluation.

Main Methods:

Introduced an electromagnetics-based inverse sensitivity mapping method.
Utilized iterative optimization and a field approach to determine radio-frequency coil sensitivity.
Employed a hybrid Method of Moments (MOM)/Finite Element Method (FEM) algorithm for full-wave solutions to Maxwell's equations to evaluate the H field.

Main Results:

The proposed method accurately estimates radio-frequency coil sensitivity in high-field MRI.
Achieved high-fidelity sensitivity estimation, leading to MRI images with significantly reduced artifact power.

Conclusions:

The developed inverse sensitivity mapping method is effective for high-field MRI applications.
This approach enhances image quality by minimizing artifacts, offering a significant improvement over prior techniques.