Anthony Glenn Christodoulou1, Cornelius Brinegar1, Bo Zhao1, Justin P. Haldar1, Haosen Zhang2, Yi-Jen L. Wu2, T. Kevin Hitchens2, Chien Ho2, Zhi-Pei Liang1
1Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 2Pittsburgh NMR Center for Biomedical Research, Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States
Myocardial perfusion imaging is an important and challenging application of cardiovascular MRI. This work demonstrates that sparse sampling of (k,t)-space with the joint use of partial and spatial-spectral sparsity constraints can significantly improve the spatiotemporal resolution of first-pass myocardial perfusion imaging experiments. Experimental results in rats show a 390 μm in-plane spatial resolution and 15 ms temporal resolution, representing an equivalent acceleration factor of 51.