Abstract #0656
Improve O-Space Imaging Using High-Resolution Oversampled Data Acquisitions
Haifeng Wang 1 , Leo Tam 1 , Emre Kopanoglu 1 , Dana Peters 1 , Gigi Galiana 1 , and R. Todd Constable 1
1
Department of Diagnostic Radiology, Yale
University, New Haven, CT, United States
O-Space has been proved to outperform Cartesian SENSE
when the effective acceleration factor approaches,
equals, or exceeds the number of radiofrequency (RF)
coils. However, the advantages over radial imaging
(which is the linear trajectory underlying O-Space) have
been less clear. In this study, we show that increasing
readout sampling, which carries essentially zero time
cost, produces high-resolution O-Space images that are
clearly superior, with sharper features and fewer
artifacts. Increased resolution in the readout has
little effect on radial image quality. The experimental
results illustrate that the addition of nonlinear
gradients can improve image quality and surpass
conventional radial imaging in accelerated data
acquisitions.
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