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 Min^1,2,3, Matthew A. Bernstein^2,3, Oliver Speck^4,5,6,7, Kendall H. Lee^1,3, 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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