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Abstract #3899

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

Marcel Gratz1,2, Verena Ruhlmann3, Lale Umutlu4, Matthias Fenchel5, and Harald H. Quick1,2

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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