1Biomedical Engineering, Yale
University, New Haven, CT, United States; 2Diagnostic Radiology,
Yale University, New Haven, CT, United States; 3Diagnostic
Radiology, Neurosurgery, and Biomedical Engineering, Yale University, New
Haven, CT, United States
parallel imaging performance is assessed either by computing the analytical
geometry factor or, if necessary, comparing the SNRs of fully-sampled and
undersampled Monte Carlo
reconstructions. The empirical
g-factor is unsuitable, however, for methods such as O-Space imaging in which
non-linear gradients are used to obtain projections of the object.
Since O-Space point spread functions are highly variable with
position, the g-factor must be corrected for voxel-size in order to
distinguish intra-voxel blurring from true noise amplification. This work shows the limited utility of
uncorrected empirical g-factors for O-Space imaging and discusses how to
compute the PSF for this class of non-linear projection imaging methods.