Abstract #2197

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

Thibault Marin¹, Yanis Djebra^1,2, 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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