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.