View-sharing (VS) increases spatiotemporal resolution in dynamic contrast-enhanced (DCE) MRI by temporally sharing high frequency k-space data across contrast phases. However, this temporal sharing results in respiratory motion occurring in any single phase to propagate artifacts across all phases. Compressed sensing (CS) can eliminate need for VS by recovering missing k-space data from pseudorandom under-sampling, reducing temporal blurring while maintaining spatial resolution. We tested CS versus VS in the setting of DCE MRI for HCC. CS reduced respiratory artifacts, produced images with a more synthetic appearance, and did not result in a difference in lesion detection.
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