2017
Magnetic Resonance–based Motion Correction for Quantitative PET in Simultaneous PET-MR Imaging
Rakvongthai Y, Fakhri G. Magnetic Resonance–based Motion Correction for Quantitative PET in Simultaneous PET-MR Imaging. PET Clinics 2017, 12: 321-327. PMID: 28576170, PMCID: PMC6452624, DOI: 10.1016/j.cpet.2017.02.004.Peer-Reviewed Original ResearchConceptsSimultaneous PET-MRQuantitative PET imagingMotion correctionSimultaneous PET-MR imagingReconstructed PET imagesMotion-corrected imagesPET-MRMotion correction strategiesPET imagingPET-MR imagingQuantitation of PET imagesPatient studiesQuantitative PETImage qualityMotionCorrectionPhantomAnatomical informationCorrection strategyMR imaging
2007
Validation of a Standardized Normalization Template for Statistical Parametric Mapping Analysis of 123I-FP-CIT Images
Kas A, Payoux P, Habert M, Malek Z, Cointepas Y, El Fakhri G, Chaumet-Riffaud P, Itti E, Remy P. Validation of a Standardized Normalization Template for Statistical Parametric Mapping Analysis of 123I-FP-CIT Images. Journal Of Nuclear Medicine 2007, 48: 1459-1467. PMID: 17704252, DOI: 10.2967/jnumed.106.038646.Peer-Reviewed Original ResearchConceptsStatistical parametric mappingDopamine transporterStatistical parametric mapping analysisIntraclass correlation coefficientStriatal (123)I-FP-CIT uptakeParkinson's diseaseStatistical parametric mapping approachEssential tremorBland-Altman graphical analysisStriatal volumeDopaminergic cell lossDAT imagingLow intraclass correlation coefficientsParametric mappingSpatial normalizationNo significant differencePD patientsCustomized templateIntergroup analysisCell lossSpatial normalization procedureResults of groupSPM normalizationSignificant differenceSPECTFast Monte Carlo based joint iterative reconstruction for simultaneous SPECT imaging
Ouyang J, Fakhri G, Moore S. Fast Monte Carlo based joint iterative reconstruction for simultaneous SPECT imaging. Medical Physics 2007, 34: 3263-3272. PMID: 17879789, DOI: 10.1118/1.2756601.Peer-Reviewed Original ResearchConceptsMC-JOSEMEnergy windowFast Monte CarloSignal-to-noise ratioScatter correction methodOrdered-subsets expectation-maximizationMonte CarloOrdered-subsets expectation-maximization algorithmIterative reconstruction algorithmPrimary photonsReconstruction algorithmPhoton transportSeptal penetrationDetector responseMC simulationsIterative reconstructionAttenuation distributionStandard OSEMPhotonsProjection dataPatient-specific activityDetectorReconstructed imagesScatteringEstimation of scattering
1998
Artificial neural network as a tool to compensate for scatter and attenuation in radionuclide imaging.
Maksud P, Fertil B, Rica C, El Fakhri G, Aurengo A. Artificial neural network as a tool to compensate for scatter and attenuation in radionuclide imaging. Journal Of Nuclear Medicine 1998, 39: 735-45. PMID: 9544691.Peer-Reviewed Original Research