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.