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Using Learned Under-Sampling Pattern For Increasing Speed Of Cardiac Cine Mri Based On Compressive Sensing Principles, Pooria Zamani, Mohammad Kayvanrad, Hamid Soltanian-Zadeh

Wayne State University Associated BioMed Central Scholarship

Abstract

This article presents a compressive sensing approach for reducing data acquisition time in cardiac cine magnetic resonance imaging (MRI). In cardiac cine MRI, several images are acquired throughout the cardiac cycle, each of which is reconstructed from the raw data acquired in the Fourier transform domain, traditionally called k-space. In the proposed approach, a majority, e.g., 62.5%, of the k-space lines (trajectories) are acquired at the odd time points and a minority, e.g., 37.5%, of the k-space lines are acquired at the even time points of the cardiac cycle. Optimal data acquisition at the even time points is learned …