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FOD-based Registration for Susceptibility Distortion Correction in Connectome Imaging.
Yuchuan Qiao1, Wei Sun1, Yonggang Shi1
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA.
Summary
This study introduces an improved diffusion MRI (dMRI) data processing framework to correct residual distortions in Human Connectome Project (HCP) pipeline outputs. Our method enhances brain pathway mapping by using advanced fiber orientation distribution (FOD) registration for more accurate results.
Area of Science:
- Neuroimaging
- Diffusion MRI (dMRI)
- Connectomics
Background:
- High-resolution diffusion MRI (dMRI) data from the Human Connectome Project (HCP) is crucial for in vivo human brain pathway mapping.
- Existing HCP Pipeline preprocessing methods exhibit significant residual distortions due to reliance on B0 images for registration.
- These distortions limit the accuracy of connectomics research utilizing widely distributed HCP data.
Purpose of the Study:
- To develop and validate an improved framework for removing residual distortions in dMRI data processed by the HCP Pipeline.
- To enhance the accuracy of brain pathway mapping derived from HCP dMRI datasets.
- To provide a more reliable method for analyzing brain connectivity.
Main Methods:
- Developed a novel framework employing advanced registration of fiber orientation distribution (FOD) images.
- Utilized information from all gradient directions in dMRI scans for more robust image alignment.
- Focused experimental validation on the brainstem region, comparing against standard HCP Pipeline preprocessing.
Main Results:
- The proposed method significantly improves distortion correction in HCP dMRI data.
- Generated fiber orientation distribution (FOD) images show a more faithful representation of brain pathways.
- Enhanced registration of FOD images leads to more accurate alignment across different phase encodings.
Conclusions:
- The developed framework offers a substantial improvement over existing HCP Pipeline methods for dMRI distortion correction.
- Accurate mapping of human brain pathways is achievable with advanced FOD-based registration techniques.
- This work provides a more reliable foundation for connectomics research using HCP dMRI data.
