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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