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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