Abstract #2616

Fast Deep Learning Motion-Resolved Golden-Angle Radial MRI Reconstruction

Ramin Jafari¹, Richard K G Do², Yousef Mazaheri Tehrani^1,2, Ty Cashen³, Sagar Mandava³, Maggie Fung³, Ersin Bayram³, and Ricardo Otazo^1,2

¹Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ³GE Healthcare, Waukesha, WI, United States

To use deep learning to reconstruct motion-resolved dynamic images from multicoil undersampled radial data without image quality degradation and 800-fold reduction in reconstruction time compared to the iterative XD-GRASP algorithm.

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