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Abstract #2372

Compressed sensing undersampling strategies for accelerating 3D cine MRI in mouse hearts

Tobias Wech 1,2 , Andreas Schindele 3 , Victoria L Thornton 4 , Alfio Borzi 3 , Herbert Kstler 1,2 , and Jurgen E Schneider 4

1 Department of Radiology, University of Wrzburg, Wrzburg, Germany, 2 Comprehensive Heart Failure Center, University of Wrzburg, Wrzburg, Germany, 3 Institute of Mathematics, University of Wrzburg, Wrzburg, Germany, 4 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom

Cine-MRI is a well-established tool to assess global cardiac function in rodent models of cardiovascular disease. 3D techniques provide improved signal-to-noise, which could be utilized to increase spatial and / or temporal resolution at the cost of increased acquisition time. The aim of this study was to develop optimised compressed sensing reconstruction as an approach to accelerate 3D cine-MRI in mice at 9.4T. Fully sampled 3D cine data sets acquired in three normal mice were up to 15-fold undersampled in post-processing and subjected to compressed sensing reconstruction, using algorithms with and without additional Total Variation constraint. Low RMSE-values even for high acceleration factors (R=15) indicated that compressed sensing enables significant time savings in 3D cine acquisitions.

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