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A method for artifact correction due to demodulation phase errors in magnetic resonance imaging
Zhengmin Liu1, Haicheng Wu, Heqin Zhou
1Department of Automation, University of Science and Technology of China, Hefei, Anhui 230027, China.
This study introduces a novel reference scan method to correct phase errors in MRI signal demodulation. The technique effectively removes image artifacts caused by inaccurate reference signals, improving MRI quality.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging (MRI)
Background:
- Quadrature demodulation in MRI is susceptible to phase errors in reference signals.
- These phase errors lead to image artifacts, degrading diagnostic quality.
- Existing hardware-based phase correction methods are often incomplete.
Purpose of the Study:
- To develop and validate a new method for correcting phase errors during MRI signal demodulation.
- To eliminate image artifacts resulting from inaccurate sinusoid and cosinusoid reference signals.
- To improve the overall quality and reliability of MRI images.
Main Methods:
- A reference scan is performed before the Fast Spin Echo (FSE) sequence, omitting frequency and phase encoding gradients.
- An echo train is acquired during the reference scan to capture phase errors.
- Phase errors of the demodulation reference signals (sinusoid and cosinusoid) are calculated for each echo.
- K-space data is corrected using the calculated phase errors to remove artifacts.
Main Results:
- The proposed reference scan method successfully calculated phase errors.
- Correction of k-space data effectively removed artifacts in the MRI images.
- Experimental results on a 0.35T MRI system demonstrated significant artifact reduction.
- The method proved effective in mitigating image distortions caused by phase errors.
Conclusions:
- The reference scan method offers an effective solution for correcting phase errors in MRI quadrature demodulation.
- This technique successfully removes image artifacts, enhancing MRI image fidelity.
- The proposed approach provides a valuable tool for improving MRI image quality without relying solely on hardware solutions.
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