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Abstract #3450

Functional Magnetic Resonance Imaging Using Super-Resolved Spatially-Encoded MRI

Noam Ben-Eliezer1, Ute Goerke2, Michael Garwood2, Lucio Frydman1

1Chemical Physics, Weizmann Institute of Science, Rehovot, Israel; 2Center for Magnetic Resonance Research, Radiology, University of Minnesota, Minneapolis, MN, United States

The sensitivity and specificity needed to detect neuronal activation is affected by the type of fMRI sequence and reconstruction algorithm used. Recent development of a new single-scan imaging scheme provides an alternative fMRI tool, based on spatial encoding, which offers higher robustness to B0 field inhomogeneities. A new post-processing procedure was combined onto this scheme based on super-resolution image reconstruction algorithms, which improves the ensuing spatial-resolution while reducing the initially higher hardware requirements and SAR constraints. We analyze the performance afforded by super-resolution using two novel spatially-encoded based sequences for human fMRI studies, as compared to standard EPI.