Abstract #0601

3D High Spatiotemporal Resolution Quantitative Liver Perfusion Imaging Using a Stack-Of-Spirals Acquisition and Through-Time Non-Cartesian GRAPPA Acceleration

Yong Chen¹, Gregory R. Lee¹, Katherine L. Wright², Mark A. Griswold¹,², Nicole Seiberlich², Vikas Gulani¹,²

¹Department of Radiology, University Hospitals of Cleveland, Cleveland, OH, United States; ²Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Quantitative DCE-MRI in the liver is challenging due to the needs for high spatiotemporal resolution coverage over a large moving volume, and good data fidelity for model fitting. In this work, we developed an ultra-fast 3D imaging technique using a combination of a stack-of-spirals trajectory and through-time non-Cartesian GRAPPA acceleration. This technique allows fast imaging of the whole liver at high spatial resolution during free breathing. A dual-input, single compartment model was applied and quantitative liver perfusion maps were obtained, with parameter values that are in good agreement with the literature.