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Slice selection axis motion artifact correction in MRI.

M Hedley¹, H Yan

¹Department of Electrical Engineering, University of Sydney, NSW, Australia.

Australasian Physical & Engineering Sciences in Medicine

|December 1, 1991

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This study introduces a novel iterative algorithm to reduce motion artifacts in magnetic resonance imaging. The new technique effectively minimizes ghosting and resolution loss caused by movement along the slice selection axis.

Area of Science:

Medical Imaging
Signal Processing

Background:

Motion artifacts, specifically ghosting and resolution loss in the phase-encoded direction, are persistent problems in magnetic resonance imaging (MRI) using 2D Fourier Transform techniques.
Existing methods for artifact suppression have limitations, necessitating further research.

Purpose of the Study:

To develop and present a new technique for reducing motion artifacts specifically along the slice selection axis in MRI.
To address the amplitude modulation of data caused by this type of motion.

Main Methods:

An iterative algorithm was developed for post-processing MRI data.
The algorithm utilizes signal processing techniques to reduce amplitude modulation caused by motion along the slice selection axis.

Main Results:

Related Experiment Videos

The developed iterative algorithm effectively reduces artifacts caused by motion along the slice selection axis.
Performance was validated using simulated MRI data, demonstrating robustness even with high levels of added noise.

Conclusions:

The proposed iterative algorithm offers a promising solution for mitigating motion-induced artifacts in MRI.
This technique enhances image quality by reducing ghosting and improving resolution, particularly for motion along the slice selection axis.