Improve O-Space Imaging Using High-Resolution Oversampled Data Acquisitions

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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