Abstract #4368

Combination of Compressed Sensing, Parallel Imaging & Partial Fourier for Highly-Accelerated 3D First-Pass Cardiac Perfusion MRI

Li Feng^1,2, Jian Xu^3,4, Daniel Kim², Leon Axel², Daniel K Sodickson², Ricardo Otazo²

¹Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States; ²Department of Radiology, New York University School of Medicine, New York, NY, United States; ³Siemens Medical Solutions USA; ⁴Polytechnic Institute of NYU, Brooklyn, NY, United States

First-pass myocardial perfusion MRI is a promising technique for assessing ischemic heart diseases. 3D whole-heart coverage per heartbeat is desirable to overcome the volumetric coverage limitations of multislice 2D techniques. Highly accelerated imaging is required to reduce the long acquisition time per heartbeat of 3D perfusion MRI scans. In this work, we combine compressed sensing, parallel imaging and partial Fourier imaging to enable previously inaccessible accelerations. We demonstrate feasibility of whole-heart 3D perfusion MRI with 24-fold acceleration using the combined approach.