title: Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain.
abstract: Simultaneous PET/MR of the brain is a promising technology for characterizing patients with suspected cognitive impairment or epilepsy. Unlike CT, however, MR signal intensities do not correlate directly with PET photon attenuation correction (AC), and inaccurate radiotracer SUV estimation can limit future PET/MR clinical applications. We tested a novel AC method that supplements standard Dixon-based tissue segmentation with a superimposed model-based bone compartment.
  
  
  
  We directly compared SUV estimation between MR-based AC and reference CT AC in 16 patients undergoing same-day PET/CT and PET/MR with a single (18)F-FDG dose for suspected neurodegeneration. Three Dixon-based MR AC methods were compared with CT: standard Dixon 4-compartment segmentation alone, Dixon with a superimposed model-based bone compartment, and Dixon with a superimposed bone compartment and linear AC optimized specifically for brain tissue. The brain was segmented using a 3-dimensional T1-weighted volumetric MR sequence, and SUV estimations were compared with CT AC for whole-image, whole-brain, and 91 FreeSurfer-based regions of interest.
  
  
  
  Modifying the linear AC value specifically for brain and superimposing a model-based bone compartment reduced the whole-brain SUV estimation bias of Dixon-based PET/MR AC by 95% compared with reference CT AC (P < 0.05), resulting in a residual -0.3% whole-brain SUVmean bias. Further, brain regional analysis demonstrated only 3 frontal lobe regions with an SUV estimation bias of 5% or greater (P < 0.05). These biases appeared to correlate with high individual variability in frontal bone thickness and pneumatization.
  
  
  
  Bone compartment and linear AC modifications result in a highly accurate MR AC method in subjects with suspected neurodegeneration. This prototype MR AC solution appears equivalent to other recently proposed solutions and does not require additional MR sequences and scanning time. These data also suggest that exclusively model-based MR AC approaches may be adversely affected by common individual variations in skull anatomy.
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York thomas.koesters@nyumc.org.
authors.forename: Thomas
authors.initials: T
authors.lastname: Koesters
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York.
authors.forename: Kent P
authors.initials: KP
authors.lastname: Friedman
authors.affiliation: Siemens Healthcare GmbH, Erlangen, Germany; and.
authors.forename: Matthias
authors.initials: M
authors.lastname: Fenchel
authors.affiliation: Siemens Medical Solutions, USA, Malvern, Pennsylvania.
authors.forename: Yiqiang
authors.initials: Y
authors.lastname: Zhan
authors.affiliation: Siemens Medical Solutions, USA, Malvern, Pennsylvania.
authors.forename: Gerardo
authors.initials: G
authors.lastname: Hermosillo
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York.
authors.forename: James
authors.initials: J
authors.lastname: Babb
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York.
authors.forename: Ileana O
authors.initials: IO
authors.lastname: Jelescu
authors.affiliation: Siemens Medical Solutions, USA, Malvern, Pennsylvania.
authors.forename: David
authors.initials: D
authors.lastname: Faul
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York.
authors.forename: Fernando E
authors.initials: FE
authors.lastname: Boada
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York Center for Advanced Imaging Innovation and Research (CAI2R), New York, New York.
authors.forename: Timothy M
authors.initials: TM
authors.lastname: Shepherd
mesh_terms: D000369:Aged, 80 and over; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D001921:Brain / Q000000981:diagnostic imaging*; D005260:Female; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D064847:Multimodal Imaging; D017785:Photons; D049268:Positron-Emission Tomography
chemical_list: D019788:Fluorodeoxyglucose F18
keywords: MR-based attenuation correction; PET/MR hybrid imaging; attenuation correction of bone; model-based attenuation correction
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