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Abstract #2722

Direct reconstruction of arterial blood flow (aBF) from undersampled golden-angle radial non-contrast enhanced dynamic 4D MR angiography

Ziwei Zhao1,2, Kai Wang1, Danny JJ Wang1, and Lirong Yan1

1Laboratory of Functional MRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Department of Neurology, University of Southern California, Los Angeles, CA, United States, 2Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States

Quantification of hemodynamics benefits clinical diagnosis. Non-contrast enhanced MRA with golden-angle radial acquisition has capability of characterization of dynamic flow with high spatiotemporal resolution within a short scan time. Here, we proposed a direct reconstruction framework of arterial blood flow (aBF) from undersampled radial dMRA K-t space data, which mitigated streaking artifacts induced by image-based reconstruction. Both simulation and experimental data suggested that direct optimization method provides reliable aBF under different undersampling rates while preserving detailed delineation of vascular structures, compared to the conventional post-processing singular value decomposition (SVD) method.

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