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Fieldmap-free retrospective registration and distortion correction for EPI-based functional imaging
Clare Poynton1, Mark Jenkinson, Stephen Whalen
1Computer Science and Artificial Intelligence Lab, MIT, USA.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 6, 2008
Summary
This study introduces a novel method to correct echo planar imaging (EPI) distortions and register EPI to structural MRI without requiring fieldmaps or shim information.
Area of Science:
- Medical Imaging
- Neuroimaging
- Image Processing
Background:
- Echo planar imaging (EPI) is prone to distortions.
- Accurate registration of EPI to structural MRI is crucial for analysis.
- Existing correction methods often rely on fieldmaps and shim parameters.
Purpose of the Study:
- To develop a distortion correction method for EPI data.
- To enable robust registration of EPI to structural MRI.
- To eliminate the need for explicit fieldmaps and shim parameters.
Main Methods:
- A perturbation method predicts a fieldmap from air/tissue segmentation of structural MRI.
- The predicted fieldmap is used to unwarp EPI data.
- Registration estimates shim and other missing parameters.
Main Results:
- The developed method effectively corrects EPI distortions.
- Registration of EPI to structural MRI is achieved.
- Results are comparable to traditional fieldmap-based methods.
Conclusions:
- This approach offers an alternative for EPI distortion correction and registration.
- It simplifies the processing pipeline by removing reliance on fieldmaps and shim knowledge.
