Dynamic cardiac MR image reconstruction models using machine learning on large training data sets
Johannes Schmidt1 and Sebastian Kozerke1
1University and ETH Zurich, Zurich, Switzerland
An online learning algorithm is used to derive a generic model for dynamic cardiac MR data from a large set of training data. Image quality of reconstructed data could be improved and smoothing in time domain reduced.
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