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
2006
Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes
Wollenweber S, Fakhri G, Moore S. Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes. 2006, 4: 2233-2235. DOI: 10.1109/nssmic.2006.354358.Peer-Reviewed Original ResearchPositron emission tomographicField of viewFiltered backprojectionEstimation of activity concentrationImaging field of viewQuantitative imaging performanceIterative reconstruction methodValues of activity concentrationsActivity concentrationsPET-CT systemFBP imagesScan modeReconstruction methodROI valuesImaging performanceAnalytical reconstructionEmission tomographicRegions-of-interestROI activityPET-CTPhantomOSEMF-18BackprojectionTissue background