A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom.

Autor:	Catana C; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts; ccatana@mgh.harvard.edu., Laforest R; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri., An H; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri., Boada F; Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Langone Medical Center, New York, New York., Cao T; Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China., Faul D; Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania., Jakoby B; Siemens MR, Siemens Healthcare GmbH, Erlangen, Germany., Jansen FP; PET/MR Engineering, GE Healthcare, Chicago, Illinois., Kemp BJ; Division of Nuclear Medicine, Mayo Clinic, Rochester, Minnesota., Kinahan PE; Imaging Research Laboratory, University of Washington, Seattle, Washington., Larson P; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California., Levine MA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts., Maniawski P; Advanced Molecular Imaging, Philips Healthcare, Cleveland, Ohio., Mawlawi O; Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas., McConathy JE; Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama., McMillan AB; Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin., Price JC; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts., Rajagopal A; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California., Sunderland J; Division of Nuclear Medicine, Department of Radiology, University of Iowa, Iowa City, Iowa., Veit-Haibach P; Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System, and Women's College Hospital, Department of Medical Imaging, University of Toronto, Toronto, Canada., Wangerin KA; GE Healthcare, Chicago, Illinois; and., Ying C; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri., Hope TA; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.
Jazyk:	angličtina
Zdroj:	Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2022 Apr; Vol. 63 (4), pp. 615-621. Date of Electronic Publication: 2021 Jul 22.
DOI:	10.2967/jnumed.120.261881
Abstrakt:	PET/MRI scanners cannot be qualified in the manner adopted for hybrid PET/CT devices. The main hurdle with qualification in PET/MRI is that attenuation correction (AC) cannot be adequately measured in conventional PET phantoms because of the difficulty in converting the MR images of the physical structures (e.g., plastic) into electron density maps. Over the last decade, a plethora of novel MRI-based algorithms has been developed to more accurately derive the attenuation properties of the human head, including the skull. Although 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 AC 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 MRI- and CT-based AC methods, and whole-brain qualitative and quantitative (both voxelwise and regional) analyses should be performed. The MRI-based approach will be considered satisfactory if the PET quantification bias is within the acceptance criteria specified here. We have implemented this approach successfully across 2 PET/MRI scanner manufacturers at 2 sites. (© 2022 by the Society of Nuclear Medicine and Molecular Imaging.)
Databáze:	MEDLINE
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