Motion during acquisition of PET/MR data can severely degrade image quality of PET/MR studies. We have previously reported an MR-based motion correction technique capable of correcting for irregular motion patterns such as bulk motion and irregular respiratory motion. The method is based on a subspace MR model enabling reconstruction of real-time volumetric MR images (9 frames per second). In this work, we present improvements to the motion estimation method used to obtain motion fields from real-time MR images. We compare the performance of three packages for irregular motion patterns.
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