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Abstract #2350

Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs

Jonathan Endres1, Hoai Nam Dang2, Felix Glang3, Alexander Loktyushin3, Simon Weinmüller2, and Moritz Zaiss2,3
1Universitätsklinik Erlangen, Erlangen, Germany, 2Department of Neuroradiology, Universitätsklinik Erlangen, Erlangen, Germany, 3Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany


We propose a method to automatically generate estimators for the exact encoding of a MRI signal, based on the Phase Distribution Graph of a sequence and its simulation. The estimator can then be used on a measurement to split the signal into its differently encoded parts, which enables reconstruction tailored to the sequence used. This approach can result in fewer imaging artifacts since it does not rely on any assumptions about the sequence made up front but on data obtained by a PDG simulation. This also makes it suitable for sequence optimization because it can adapt to changing sequence properties.

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