Chronic kidney disease poses a significant health burden, and patients benefit from early detection of kidney function. Serum-creatinine based estimation is insensitive to early changes and nuclear medicine studies expose patients to radiation. In this work, we evaluated a novel technique, motion-robust high spatiotemporal resolution Dynamic Radial VIBE (DRV) with compressed sensing, to reconstruct high-quality dynamic image series, and to precisely estimate filtration rate per kidney and per voxel. Our results suggest that, compared to conventional Cartesian VIBE, DRV reconstructs higher quality motion-robust images and results in improved the goodness-of-fit to the tracer kinetic model, reducing RMSE and increasing the precision of filtration rate parameter.
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