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Abstract #4406

Time-Resolved MRA with Data-Driven Parallel Imaging using Calibration Over Multiple Time-Frames & Interleaved Variable Density Cartesian Acquisition

James H. Holmes1, Kang Wang2, Philip J. Beatty3, Reed F. Busse4, Frank R. Korosec5, Lauren A. Keith2, Christopher J. Francois6, Scott B. Reeder5, Jean H. Brittain

1Global Applied Science Laboratory, GE Healthcare, Madison, WI, United States; 2Medical Physics, University of Wisconsin-Madison, Madison, WI; 3Global Applied Science Laboratory, GE Healthcare, Thornhill, ON, Canada; 4MR Research, GE Healthcare, Waukesha, WI; 5Radiology, University of Wisconsin-Madison, Madison, WI; 6Radiology, University of Wisconsin-Madison, Madision, WI

An interleaved variable density (IVD) Cartesian acquisition combined with a constrained reconstruction (HYCR) and data-driven parallel imaging has been demonstrated for improved MRA temporal resolution. There are several potential methods for calibrating the parallel imaging including using mask data, mask data subtracted from the time-frame, and data from multiple time-frames. In this work, we present results from these different calibration methods and demonstrate the advantages of using multiple calibration data sources to address data inconsistencies and maintain high temporal resolution with time-resolved MRA.