Abstract #1222

Evaluation of non-contrast enhanced 4-dimensional MRA with stack-of-stars golden angle radial trajectory in conjunction with KWIC reconstruction for the depiction of arteriovenous malformations

Lirong Yan¹, Songlin Yu², Samantha Ma¹, Jonathan Russin³, Arun Amar³, Yelong Shen^1,4, Qi Huang^1,5, Nader Pouratian⁶, Hee Kwon Song⁷, and Danny JJ Wang¹

¹Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ²Beijing Tiantan Hospital, Beijing, China, ³Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁴School of Medicine, Shandong University, Jinan, China, ⁵Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ⁶Neurosurgery, University of California Los Angeles, Los Angeles, CA, United States, ⁷University of Pennsylvania, Philadelphia, PA, United States

This study evaluated a recently developed non-contrast enhanced 4-dimensional MRA (NCE 4D MRA) with stack-of-stars golden-angle radial trajectory and KWIC reconstruction for the detection of cerebral arteriovenous malformation (AVM) by comparison with DSA, TOF and standard Cartesian 4D MRA. The characterizations of AVM lesions using this radial 4D MRA are consistent with those of DSA. 4D MRA combined with TOF improves diagnostic confidence. Compared to Cartesian acquisition, radial acquisition shows improved delineation of dynamic flow with less motion artifacts and short scan time. Our findings indicate radial 4D MRA may be a promising alternative for the characterization of AVM features.

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