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Reduction of motion artifacts in cine MRI using variable-density spiral trajectories
J R Liao1, J M Pauly, T J Brosnan
1Department of Radiology, Stanford, CA 94305, USA.
Magnetic Resonance in Medicine
|April 1, 1997
Summary
Variable-density spiral MRI trajectories reduce motion artifacts in cardiac imaging. This technique improves image quality by strategically sampling data, offering an effective alternative to simple signal averaging.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging (MRI)
- Cardiovascular Imaging
Background:
- Dynamic cardiac MRI requires high spatial and temporal resolution, plus signal-to-noise ratio (SNR).
- Single-shot MRI techniques are insufficient for these demands.
- Multishot MRI techniques introduce motion artifacts due to data inconsistencies between views.
Purpose of the Study:
- To design and evaluate variable-density spiral MRI trajectories for reducing motion artifacts.
- To assess the effectiveness of these trajectories in computer simulations and human volunteer scans.
- To investigate the trade-off between artifact reduction and SNR for these trajectories.
Main Methods:
- Design of several variable-density spiral MRI trajectories.
- Evaluation of artifact reduction efficiency via computer simulations.
- Testing in scans of normal volunteers to assess real-world performance.
- Analysis of the signal-to-noise ratio (SNR) compromise associated with each trajectory.
Main Results:
- Variable-density spiral trajectories effectively reduce motion artifacts in dynamic cardiac MRI.
- Oversampling specific regions of kappa-space proved particularly efficient for artifact reduction.
- The tested trajectories demonstrated a small loss in SNR compared to uniform density counterparts.
- Computer simulations and volunteer scans confirmed the artifact reduction capabilities.
Conclusions:
- Variable-density spiral trajectories offer an effective method for reducing motion artifacts in dynamic cardiac MRI.
- These trajectories provide a favorable balance between artifact reduction and SNR preservation.
- This approach presents a valuable advancement over traditional signal averaging techniques for motion artifact mitigation.