Abstract #3834

Golden Angle Through-Time Radial GRAPPA for Real-Time Cardiac MRI

Xu Han¹, Katherine L. Wright¹, Vikas Gulani²,³, Nicole Seiberlich¹

¹Dept. of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ²Dept. of Radiology, Case Western Reserve University, Cleveland, OH, United States; ³Dept. of Radiology, University Hospitals, Cleveland, OH, United States

The goal of this work is to demonstrate that undersampled golden angle radial data can be reconstructed using through-time radial GRAPPA. The golden-angle trajectory is advantageous when it is not clear what acceleration factor is desired, as any subset of temporally adjacent k-space lines can be used for the reconstruction. This abstract describes two approaches for through-time radial GRAPPA weight calibration: using an additional sequentially ordered golden angle calibration dataset and a self-calibrating golden angle technique. Using these formulations, real-time free-breathing cardiac images can be reconstructed at retrospectively selected temporal resolutions from the same golden angle dataset.