PT - JOURNAL ARTICLE AU - Ciprian Catana AU - Richard Laforest AU - Hongyu An AU - Fernando Boada AU - Tuoyu Cao AU - David Faul AU - Bjoern Jakoby AU - Floris P Jansen AU - Brad J Kemp AU - Paul E. Kinahan AU - Peder E. Z. Larson AU - Michael A Levine AU - Piotr Maniawski AU - Osama Mawlawi AU - Jonathan McConathy AU - Alan McMillan AU - Julie C. Price AU - Abhejit Rajagopal AU - John Sunderland AU - Patrick Veit-Haibach AU - Kristen A Wangerin AU - Chunwei Ying AU - Thomas A. Hope TI - A Path to Qualification of PET/MR Scanners for Multicenter Brain Imaging Studies: Evaluation of MR-based Attenuation Correction Methods Using a Patient Phantom AID - 10.2967/jnumed.120.261881 DP - 2021 Jul 01 TA - Journal of Nuclear Medicine PG - jnumed.120.261881 4099 - http://jnm.snmjournals.org/content/early/2021/07/22/jnumed.120.261881.short 4100 - http://jnm.snmjournals.org/content/early/2021/07/22/jnumed.120.261881.full AB - Positron emission tomography and magnetic resonance imaging (PET/MRI) scanners cannot be qualified in the manner adopted for hybrid PET and computed tomography (CT) devices. The main hurdle with qualification in PET/MRI is that attenuation correction (AC) cannot be adequately measured in conventional PET phantoms due to the difficulty in converting the MRI images of the physical structures (e.g., plastic) into electron density maps. Over the last decade, a plethora of novel MR-based algorithms have been developed to more accurately derive the attenuation properties of the human head, including the skull. Although very promising, none of these techniques has yet emerged as an optimal and universally adopted strategy for AC in PET/MRI. In this work, we propose a path for PET/MRI qualification for multicenter brain imaging studies. Specifically, our solution is to separate the head attenuation correction from the other factors that affect PET data quantification and use a patient as a phantom to assess the former. The emission data collected on the integrated PET/MRI scanner to be qualified should be reconstructed using both MR- and CT-based AC methods and whole-brain qualitative and quantitative (both voxel-wise and regional) analyses should be performed. The MR-based approach will be considered satisfactory if the PET quantification bias is within the acceptance criteria specified herein. We have implemented this approach successfully across two PET/MRI scanner manufacturers at two sites.