2019
Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction
Blanc-Durand P, Khalife M, Sgard B, Kaushik S, Soret M, Tiss A, Fakhri G, Habert M, Wiesinger F, Kas A. Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction. PLOS ONE 2019, 14: e0223141. PMID: 31589623, PMCID: PMC6779234, DOI: 10.1371/journal.pone.0223141.Peer-Reviewed Original ResearchConceptsZero echo timeAC mapsAttenuation correctionPET attenuation correctionCT-based ACComputed tomographyAC methodPhoton attenuationZTE-ACInvestigation of suspected dementiaMR imagingBrain computed tomographyAtlas-ACBrain metabolismZTE-MRIConvolutional neural networkEcho timeHead atlasFDG-PET/MRPET imagingLow biasRegions-of-interestPatientsCorrectionNeural network
2015
Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR
Huang C, Ouyang J, Reese T, Wu Y, Fakhri G, Ackerman J. Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR. Physics In Medicine And Biology 2015, 60: n369-n381. PMID: 26405761, PMCID: PMC4607313, DOI: 10.1088/0031-9155/60/20/n369.Peer-Reviewed Original ResearchConceptsAttenuation correctionUltrashort echo timeMR-based attenuation correctionProjection imagesPET attenuation correctionMR attenuation correctionPET-MRPulse sequenceEcho timeDensity variationsPET imagingCorrectionBone density variationWASPIDensity measurementsAttenuation variationsPhantomMR sequencesLack of signalPulseAttenuation