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Abstract #4249

Respiratory Motion Compensation for Simultaneous PET/MR Using Strongly Undersampled MR Data

Christopher M Rank1, Thorsten Heußer1, Andreas Wetscherek1, Martin T Freitag2, Heinz-Peter Schlemmer2, and Marc Kachelrieß1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

To allow for MR acquisition times as short as 1 minute per bed, we propose a new method for PET/MR respiratory motion compensation (MoCo), which is based on strongly undersampled radial MR data. We acquired simultaneous PET/MR data of the thorax of three patients. Motion vector fields were estimated with a newly-developed algorithm, which alternates between MR image reconstruction and motion estimation. Subsequent 4D MoCo PET reconstructions employing the motion vector field derived from strongly undersampled MR data yielded a considerable visual and quantitative improvement compared to standard 3D PET and 4D gated PET reconstructions.

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