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.