Abstract #3899

Impact of MR-based Motion Correction on clinical PET/MR data of patients with thoracic pathologies

Marcel Gratz^1,2, Verena Ruhlmann³, Lale Umutlu⁴, Matthias Fenchel⁵, and Harald H. Quick^1,2

¹Erwin L. Hahn Institute, University Duisburg-Essen, Essen, Germany, ²High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, ³Department of Nuclear Medicine, University Hospital Essen, Essen, Germany, ⁴Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany, ⁵Siemens Healthcare GmbH, Erlangen, Germany

A new PET/MR method for MR-based motion correction of PET data was set up and evaluated in a clinical study to assess the potential gain of significance and visibility of lesions in the thorax for a free-breathing patient. The new method (MoCo) was applied to 20 patients and compared to reconstructions of a single respiratory state (gated) and the total non-corrected (static) dataset. Having a comparably high statistical confidence like the static PET imagery, the motion-corrected reconstruction shows superior image quality with sharper depiction of moving lesions and thus may facilitate the diagnosis of thoracic pathologies in routine PET/MR applications.

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