Abstract #4259

Low rank and sparsity on MR-based PET motion correction using simultaneous PET/MRI: a patient study

Yixin Ma¹, Yoann Petibon², Joyita Dutta², Xucheng Zhu³, Rong Guo¹, Georges El Fakhri², Kui Ying¹, and Jinsong Ouyang²

¹Key laboratory of Particle and Radiation Imaging, Ministry of Education, Tsinghua University, Beijing, China, People's Republic of, ²Center for Advanced Medical Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States, ³UCSF/UC Berkeley Bioengineering Graduate Group, University of California Berkeley, Berkeley, CA, United States

In this work, we exploited the low-rank and sparse properties of dynamic MRI data to accelerate the MR acquisition and assessed its impact on MR-based PET respiratory motion using a PET/MR oncologic patient study. PET/MR motion correction workflow was accomplished, and good performance of partially sampled MR based motion correction attests the possibility of faster PET/MR data acquisition and better lesion estimation.

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