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Abstract #2579

Motion Compensation (MoCo) for Simultaneous PET/MR Based on Strongly Undersampled Radial MR Data - A Simulation Study

Christopher M Rank 1 , Thorsten Heuer 1 , Marcus Brehm 1 , and Marc Kachelrie 1

1 Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany

We propose a new method for PET/MR respiratory Motion Compensation (MoCo), which is based on strongly undersampled MR data. In our simulation study, we used a 3D encoded radial stack-of-stars sampling scheme with 160 radial spokes per partition and an acquisition time of 38 s. Based on iteratively reconstructed 4D MR images, high-fidelity motion vector fields were estimated and MoCo 4D PET images of a simulated breathing thorax were reconstructed. Evaluation of 8 artificial hot lesions in the lungs and upper abdomen showed a significant visual as well as a quantitative improvement in terms of SUV mean values of MoCo 4D PET images compared to 3D and 4D gated reconstructions.

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