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Abstract #2197

Comparison of deformable registration techniques for real-time MR-based motion correction in PET/MR

Thibault Marin1, Yanis Djebra1,2, Paul Han1, Vanessa Landes3, Yue Zhuo1, Kuan-Hao Su4, Georges El Fakhri1, and Chao Ma1
1Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2LTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, France, 3GE Healthcare, Boston, MA, United States, 4GE Healthcare, Waukesha, WI, United States

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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