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Susceptibility artifact correction for sub-millimeter fMRI using inverse phase encoding registration and T1 weighted
S T M Duong1, S L Phung1, A Bouzerdoum2
1School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Australia.
Journal of Neuroscience Methods
|February 17, 2020
Summary
This study introduces a new method to correct brain imaging distortions in functional magnetic resonance imaging (fMRI). The technique improves the accuracy of high-resolution fMRI scans by reducing artifacts, aiding brain function research.
Area of Science:
- Neuroimaging
- Biomedical Engineering
Background:
- Functional magnetic resonance imaging (fMRI) allows non-invasive brain examination.
- High spatial-resolution fMRI research faces challenges from unavoidable susceptibility artifacts in echo-planar imaging (EPI).
- These distortions can misrepresent brain function, especially in sub-millimeter resolution studies.
Purpose of the Study:
- To present a novel method for correcting susceptibility artifacts in fMRI.
- To improve the accuracy of intra-cortex and layer-specific fMRI studies.
- To offer a robust solution for sub-millimeter fMRI data.
Main Methods:
- Combines T1-weighted (T1w) images with inverse phase-encoding (PE) based registration.
- Utilizes two EPI images with inverse-PE directions for registration.
- Employs the T1w image for regularization and automatic parameter selection.
Main Results:
- The method demonstrated improved artifact corrections on sub-millimeter EPI-fMRI datasets (3T and 7T).
- Corrections were well-aligned with the anatomical reference provided by the T1w image.
- The approach yielded more robust and sharper corrections compared to existing methods.
Conclusions:
- The proposed method offers a promising approach for susceptibility artifact correction in fMRI.
- It provides faster and more accurate results than state-of-the-art methods like HySCO and TOPUP.
- This technique is particularly relevant given the increasing popularity of sub-millimeter fMRI.
