Journal article
A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom
The Journal of nuclear medicine (1978), Vol.63(4), pp.615-621
04/2022
DOI: 10.2967/jnumed.120.261881
PMCID: PMC8973286
PMID: 34301784
Abstract
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.
Details
- Title: Subtitle
- A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom
- Creators
- Ciprian Catana - Athinoula A. Martinos Center for Biomedical ImagingRichard Laforest - MallinckrodtHongyu An - Washington University in St. LouisFernando Boada - New York University Langone Medical CenterTuoyu Cao - United Imaging HealthcareDavid Faul - Medical SolutionsBjoern Jakoby - Siemens HealthcareFloris P Jansen - Siemens HealthcareBradley J Kemp - Division of Nuclear Medicine, Mayo Clinic, Rochester, MinnesotaPaul E Kinahan - University of Washington Medical CenterPeder Larson - Department of Radiology and Biomedical Imaging, University of California, San Francisco, CaliforniaMichael A Levine - Harvard University ,Piotr Maniawski - Philips Healthcare, Advanced Molecular Imaging, United States;Osama Mawlawi - The University of Texas MD Anderson Cancer CenterJonathan E McConathy - University of Alabama at BirminghamAlan B McMillan - University of Wisconsin–MadisonJulie C Price - Harvard/MGHAbhejit Rajagopal - University of California, San FranciscoJohn Sunderland - University of IowaPatrick Veit-Haibach - University Health NetworkKristen A Wangerin - General ElectricChunwei Ying - Washington University in St. LouisThomas A Hope - University of California, San Francisco
- Resource Type
- Journal article
- Publication Details
- The Journal of nuclear medicine (1978), Vol.63(4), pp.615-621
- DOI
- 10.2967/jnumed.120.261881
- PMID
- 34301784
- PMCID
- PMC8973286
- NLM abbreviation
- J Nucl Med
- ISSN
- 0161-5505
- eISSN
- 1535-5667
- Grant note
- U01 EB029826 / NIBIB NIH HHS R01 CA218187 / NCI NIH HHS F32 EB030411 / NIBIB NIH HHS R01 CA212148 / NCI NIH HHS R01 EB026995 / NIBIB NIH HHS
- Language
- English
- Date published
- 04/2022
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology
- Record Identifier
- 9984313083502771
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