Abstract #1293

Undersampled Variable-Density 3D Non-Cartesian Trajectories and L1-SPIRiT for Whole-Heart Coronary MR Angiography

Nii Okai Addy¹, Holden H. Wu², R. Reeve Ingle¹, Dwight G. Nishimura¹

¹Electrical Engineering, Stanford University, Stanford, CA, United States; ²Department of Radiology, University of California, Los Angeles, Los Angeles, CA, United States

Although 3D non-Cartesian trajectories allow fast whole-heart coronary angiography, further improvement in speed can be achieved with parallel imaging. However, this is challenging for large 3D non-Cartesian datasets due to the high computational demand of operations such as gridding. In this work, a multi-threaded version of L1-SPIRiT is presented and tested on different undersampled variable-density trajectories showing the ability to increase image resolution while maintaining the same scan time.