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Abstract #2702

Optimizing Correction of Geometric Distortion in MR Images

Radu Mutihac1, 2, Allen Braun3, Thomas J. Balkin2

1Department of Physics, University of Bucharest, Bucharest, Bucharest-Magurele, Romania; 2Psychiatry & Neuroscience, Department of Behavioral Biology, Walter Reed Army Institute of Research, Silver Spring, MD, United States; 3Language Section, NIDCD / National Institutes of Health, Bethesda, MD, United States

Sleep data acquisition was carried out using uncommon low bandwidth in the phase encoding direction and low gradient amplitude for functional EPI readout resulting in low scanner noise, but substantially increasing the static magnetic field inhomogeneity. EPI images are prone to substantial signal dropout and spatial distortion in regions where the field is inhomogeneous. Two major sources of artifacts affect EPI reconstructions: Nyquist ghosts and geometric distortion. Post-processing optimization of geometric distortion correction in EPI FSE images based on paired field maps (magnitude and phase at different echo times)acquired at 3T in terms of spin-echo time difference is presented hereafter.