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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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