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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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An improved cylindrical FDTD method and its application to field-tissue interaction study in MRI.

Jieru Chi¹, Feng Liu, Ling Xia

¹School of Automation Engineering, Qingdao University, China. chijieru@yahoo.com.cn

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This study introduces an improved 3D FDTD algorithm in cylindrical coordinates to solve numerical singularity issues. The validated method accurately models radiofrequency field interactions with the human body in MRI scans.

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Area of Science:

Computational Electromagnetics
Numerical Analysis
Medical Physics

Background:

Finite-Difference Time-Domain (FDTD) methods are crucial for electromagnetic simulations.
Simulations in cylindrical coordinates present challenges due to polar axis singularities.
Accurate modeling of RF field interactions is vital for Magnetic Resonance Imaging (MRI) safety and efficacy.

Purpose of the Study:

To develop and validate a novel 3D FDTD scheme in cylindrical coordinates.
To address and resolve the numerical singularity at the polar axis using Ampere's law.
To demonstrate the algorithm's applicability in modeling complex scenarios like RF field-human body interactions in MRI.

Main Methods:

Implementation of a three-dimensional finite-difference time-domain (FDTD) scheme.
Development of a regularization algorithm based on Ampere's law to handle polar axis singularity.
Verification against a benchmark problem solved by a commercial electromagnetic simulation package.

Main Results:

The proposed algorithm effectively accommodates the numerical singularity.
Validation confirmed the scheme's accuracy by comparing results with a commercial package.
Successful modeling of high-frequency RF field-human body interactions in MRI.

Conclusions:

The developed FDTD algorithm provides an accurate and capable solution for simulations in cylindrical coordinates.
The regularization technique based on Ampere's law is effective in overcoming polar axis singularity.
The algorithm shows significant potential for realistic modeling of MRI environments and bio-electromagnetic interactions.