Paper Info
Title
Correction of metal-induced susceptibility artifacts for functional MRI during deep brain stimulation.
Abstract
Functional magnetic resonance imaging (fMRI) is an emerging tool for investigating brain activation associated with, or modulated by, deep brain stimulation (DBS). However, DBS-fMRI generally suffers from severe susceptibility to artifacts in regions near the metallic stimulation electrodes, as well as near tissue/air boundaries of the brain. These result in strong intensity and geometric distortions along the phase-encoding (PE) (i.e., blipped) direction in gradient-echo echo-planar imaging (GE-EPI). Distortion presents a major challenge to conducting reliable data analysis and in interpreting the findings. A recent study showed that the point spread function (PSF) mapping-based reverse gradient approach has a potential to correct for distortions not only in spin-echo EPI, but also in GE-EPI acquired in both the forward and reverse PE directions. In this study, we adapted that approach in order to minimize severe metal-induced susceptibility artifacts for DBS-fMRI, and to evaluate the performance of the approach in a phantom study and a large animal DBS-fMRI study. The method combines the distortion-corrected GE-EPI pair with geometrically different intensity distortions due to the opposing encoding directions. The results demonstrate that the approach can minimize susceptibility artifacts that appear around the metallic electrodes, as well as in the regions near the tissue/air boundaries in the brain. We also demonstrated that an accurate geometric correction is important in improving BOLD contrast in the group dataset, especially in regions where strong susceptibility artifacts appear.
Year
DOI
Venue
2017
10.1016/j.neuroimage.2017.06.069
NeuroImage
Keywords
Field
DocType
Point spread function,Reverse gradient approach,Susceptibility artifacts,Metallic artifacts,fMRI,Deep brain stimulation (DBS),Geometric distortion,Intensity distortion
Biomedical engineering,Imaging phantom,Brain activation,Cognitive psychology,Artificial intelligence,Point spread function,Distortion,Stimulation,Computer vision,Deep brain stimulation,Functional magnetic resonance imaging,Psychology,Encoding (memory)
Journal
Volume
ISSN
Citations 
158
1053-8119
2
PageRank 
References 
Authors
0.39
7
8
Name
Order
Citations
PageRank
Myung-Ho In151.48
Shinho Cho220.39
Yunhong Shu351.28
Hoon-Ki Min4263.54
Matt A Bernstein520.39
Oliver Speck623326.35
Kendall H. Lee721.74
Hang Joon Jo8232.68