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Abstract #0549

An Assessment of O-Space Imaging Robustness to Local Field Inhomogeneities

Jason P. Stockmann1, R Todd Constable2

1Biomedical Engineering, Yale University, New Haven, CT, United States; 2Diagnostic Radiology, Neurosurgery, and Biomedical Engineering, Yale University, New Haven, CT, United States

O-Space imaging permits highly-accelerated acquisitions using non-linear gradients to extract extra spatial encoding from surface coil profiles as compared with linear gradients. For accurate reconstruction to occur, however, the curvilinear frequency contours created by the gradients must intersect one another at the appropriate locations, making the technique potentially vulnerable to local field inhomogeneity, such as the susceptibility gradients arising in the head near the sinuses. This work shows that with appropriate regularization, O-Space imaging is robust to typical levels of field inhomogeneity. Field inhomogeneity is shown to manifest itself as noise-like artifacts throughout the FOV rather than gross geometric distortion.