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Abstract #4575

Centric and Reverse-Centric Trajectories for Undersampled 3D Saturation Recovery Cardiac Perfusion Imaging

Haonan Wang1, Ganesh Adluru2, Eugene G. Kholmovski2, Jian Xu3, Neal K. Bangerter1, Edward V.R. DiBella2

1Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States; 2Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States; 3Siemens Healthcare, New York, NY, United States

First-pass myocardial perfusion imaging provides a powerful noninvasive method for characterizing ischemic heart disease. 3D myocardial perfusion techniques have a number of advantages over 2D techniques. However, 3D imaging is inherently slower, so accelerated acquisition schemes exploiting compressed sensing and parallel imaging are used, often in conjunction with fast saturation-recovery sequences. In highly accelerated imaging, the magnetization does not reach a steady state, and image contrast is strongly influenced by k-space trajectory. In this study, we compare image contrast in a highly-accelerated 3D saturation-recovery sequence using a centric phase encode ordering vs. a reverse centric ordering.