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Updated: May 5, 2026

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Sample Drift Correction Following 4D Confocal Time-lapse Imaging
Published on: April 12, 2014
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Dynamic field mapping and distortion correction using single-shot blip-rewound EPI and joint multi-echo
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Magnetic Resonance in Medicine
|February 2, 2024
Summary
This study introduces a new dynamic magnetic field (B0) mapping technique for improved echo-planar imaging (EPI) distortion correction. The method achieves accurate B0 mapping, enhancing EPI time series stability, especially during subject motion.
Area of Science:
- Magnetic Resonance Imaging
- Image Reconstruction
- Neuroimaging
Background:
- Echo-planar imaging (EPI) is crucial for rapid fMRI acquisition.
- Distortions in EPI are a significant challenge, often addressed by static magnetic field mapping.
- Dynamic B0 mapping can potentially improve EPI data quality.
Purpose of the Study:
- To develop a novel method for dynamic B0 mapping and distortion correction in EPI.
- To enable simultaneous B0 mapping and image acquisition within a single readout.
- To assess the method's performance in phantom and in vivo scenarios, including during subject motion.
Main Methods:
- A blip-rewound EPI trajectory was employed to acquire multiple interleaved 2D EPI images with a short echo time (TE) difference.
- Joint multi-echo reconstruction exploited shared information between EPI images for improved reconstruction.
- Dynamic B0 maps were calculated from the phase of reconstructed images for distortion correction.
Main Results:
- The proposed method achieved dynamic B0 mapping at matched resolution with a significantly shorter TR compared to conventional multi-echo EPI.
- Reconstructed magnitude images were comparable to conventional single-shot EPI.
- In vivo B0 mapping was more accurate than conventional multi-echo EPI, avoiding phase wrapping issues.
- Dynamic B0 mapping improved EPI time series temporal stability during motion compared to static field mapping.
Conclusions:
- The developed method enables accurate dynamic B0 mapping for robust EPI distortion correction.
- The technique preserves spatial and temporal resolution without compromise.
- This approach offers a significant advancement for improving EPI data quality and reliability.
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