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Abstract #5233

Susceptibility Artifact Correction for DBS-fMRI using a PSF Mapping-based Reversed Gradient Approach

Myung-Ho In1, Shinho Cho1, Yunhong Shu2, Hoon-Ki Min1,2,3, Matthew A. Bernstein2,3, Oliver Speck4,5,6,7, Kendall H. Lee1,3, and Hang Joon Jo1

1Departments of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States, 2Departments of Radiology, Mayo Clinic, Rochester, MN, United States, 3Departments of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 4Department of Biomedical Magnetic Resonance, Institute for Experimental Physics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 5German Centre for Neurodegenerative Diseases (DZNE), Magdeburg, Germany, 6Leibniz Institute for Neurobiology, Magdeburg, Germany, 7Center for Behavioral Brain Sciences, Magdeburg, Germany

Deep brain stimulation (DBS) fMRI has been considered as an emerging tool in investigating the DBS mechanisms and corresponding clinical outcomes, but suffers from severe susceptibility artifacts near metallic electrodes and tissue/air boundaries. A recent study showed that point spread function (PSF) mapping-based reverse gradient approach has a potential to correct distortions even in gradient-echo echo-planar imaging (GE-EPI) images with opposite phase-encoding polarity using a PSF dataset. To minimize the susceptibility artifacts, in this study, we apply the PSF approach for DBS-fMRI in swine. The results demonstrate that this approach can be beneficial for improving the reliability of DBS-fMRI.

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