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Abstract #4568

Real-Time Shallow-Breathing Cardiac MRI Using Patient-Adaptive Parallel Imaging

Behzad Sharif1, John Andrew Derbyshire2, Anthony Z. Farnesh2, Robert J. Lederman2, Yoram Bresler1

1Coordinated Science Lab, Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 2Cardiovascular Branch, NHLBI, National Institutes of Health, DHHS, Bethesda, MD, USA

The goal of real-time cardiac MRI is to reconstruct high quality images from data acquired with no cardiac synchronization. The previously proposed PARADISE imaging technique achieves high resolutions for non-gated breath-hold imaging by optimally adapting data acquisition and image reconstruction to the signal support information and coil sensitivities. We propose a modified PARADISE scheme that allows for shallow breathing and can capture the breathing-induced beat-to-beat cardiac motion variability. By comparing the results to breath-hold gated cine, it is demonstrated that the proposed technique achieves high quality artifact-free images with desirable spatiotemporal resolution.