Abstract #2045

First-Pass Myocardial Perfusion Imaging with Sparse (k,t)-Space Sampling

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.