Fast Deep Learning Motion-Resolved Golden-Angle Radial MRI Reconstruction
Ramin Jafari1, Richard K G Do2, Yousef Mazaheri Tehrani1,2, Ty Cashen3, Sagar Mandava3, Maggie Fung3, Ersin Bayram3, and Ricardo Otazo1,2
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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