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Abstract #0447

RACE-GRASP: Respiratory-weighted and Aortic Contrast Enhancement-guided GRASP MRI

Li Feng1, Krishna Shanbhogue1, Daniel K Sodickson1, Hersh Chandarana1, and Ricardo Otazo1

1Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States

This work proposes a technique named RACE-GRASP (Respiratory-weighted and Aortic Contrast Enhancement guided Golden-angle RAdial Sparse Parallel imaging) for robust free-breathing DCE-MRI of the liver. First, the aortic contrast enhancement curve is automatically detected from continuously acquired data and is used to guide k-space sorting to ensure precise capture of desired contrast-enhancement phases. Second, k-space data of each contrast phase are binned into different respiratory motion states, and each motion bin is weighted differently during image reconstruction to reduce motion blurring. The performance of RACE-GRASP was demonstrated in 5 healthy volunteers and was compared with conventional GRASP.

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