Gibbs-ringing artifact removal based on local subvoxel-shifts
Elias Kellner1, Bibek Dhital2,3, Valerij G Kiselev2
1Department of Radiology, Medical Physics, University Medical Center Freiburg, Germany. elias.kellner@uniklinik-freiburg.de.
Magnetic Resonance in Medicine
|January 9, 2016
Summary
This study introduces a novel method to correct Gibbs-ringing artifacts in MRI scans. The technique effectively removes oscillations near tissue boundaries with minimal image smoothing, enhancing image quality.
Area of Science:
- Medical Imaging
- Image Processing
- Magnetic Resonance Imaging (MRI)
Background:
- Gibbs-ringing artifacts are spurious oscillations near sharp image gradients in MRI.
- These artifacts arise from k-space truncation during data acquisition.
- Existing correction methods like Gegenbauer reconstruction aim to recover missing data.
Purpose of the Study:
- To develop a fast, stable, and robust method for correcting Gibbs-ringing artifacts.
- To improve the quality of MRI images affected by these oscillations.
Main Methods:
- Interpreting Gibbs-ringing as a convolution of the image with a sinc-function due to k-space truncation.
- Proposing image reinterpolation using local, subvoxel-shifts.
- Sampling the ringing pattern at the zero-crossings of the oscillating sinc-function.
Main Results:
- The proposed method effectively removes Gibbs-ringing artifacts.
- The correction is achieved with minimal image smoothing.
- The technique is simple, effective, and robust.
Conclusions:
- The developed method offers a robust solution for Gibbs-ringing artifact correction.
- Its robustness makes it suitable for integration into standard clinical MRI image processing pipelines.
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