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In many clinical applications the tracking of fast dynamics in 4D MR data is of major interest. Due to time restrictions in the MR measurement process in this context it is reasonable to make use of undersampled data. In this talk we discuss variational methods for spatial temporal reconstruction from such MR data, which decompose the image sequence into different characteristic components such as background, motion and inhomogeneities.
This presentation is part of Minisymposium “MS6 - Time-dependent problems in imaging (2 parts)”
organized by: Thomas Schuster (Saarland University) , Anne Wald (Saarland University) .