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FID-based lung MRI at 0.5 T: theoretical considerations and practical implications
M A Schmidt1, G Z Yang, P D Gatehouse
1Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, London, United Kingdom.
Magnetic Resonance in Medicine
|April 16, 1998
Summary
This study found that Free Induction Decay (FID) based projection reconstruction (PR) techniques are not suitable for lung MRI at 0.5 Tesla due to motion and gradient artifacts, despite not obscuring high-SNR structures.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
- Biomedical Engineering
Background:
- Magnetic Resonance Imaging (MRI) is crucial for non-invasive anatomical imaging.
- Lung MRI presents unique challenges due to motion and low proton density.
- Projection Reconstruction (PR) techniques offer potential for fast imaging but can be susceptible to artifacts.
Purpose of the Study:
- To investigate artifacts in lung MRI at 0.5 T using Free Induction Decay (FID) signals and PR.
- To evaluate the impact of k-space mismapping, cardiac motion, and respiratory motion on image quality.
- To determine the suitability of FID-based PR techniques for clinical lung MRI at this field strength.
Main Methods:
- Simulated and experimentally confirmed non-structured artifacts in lung MRI.
- Utilized FID signals and PR techniques at a 0.5 T magnetic field strength.
- Assessed artifacts arising from readout gradient waveform distortions and physiological motion.
Main Results:
- Non-structured artifacts were identified, simulated, and experimentally confirmed for the first time in this context.
- These artifacts did not prevent visualization of high signal-to-noise ratio (SNR) structures.
- Quantitative analysis of lung parenchyma intensity was significantly affected by these artifacts, leading to errors.
Conclusions:
- FID-based PR techniques are not justified for lung MRI at 0.5 T.
- Artifacts, particularly non-structured ones, introduce quantitative inaccuracies in lung parenchyma imaging.
- Further development of artifact mitigation strategies is needed for low-field lung MRI.