2024
DIANA - Detectability Investgations using Artificial Nodal Additions
Bayerlein R, Xia M, Xie H, Spencer B, Ouyang J, Fakhri G, Nardo L, Liu C, Badawi R. DIANA - Detectability Investgations using Artificial Nodal Additions. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657528.Peer-Reviewed Original ResearchContrast recovery coefficientContrast-to-noise ratioLesion-to-background ratioList-mode dataTotal-body PET/CT scannerPositron emission tomographyContrast recoveryOSEM algorithmPatient motionPET/CT scannerArtificial lesionsImage quality metricsLesion detectionQuantitative accuracyPositron emission tomography scanRecovery coefficientCount densityImage contrastBody mass indexImage noisePositron emission tomography imaging techniquesFrame lengthImage smoothingActivity concentrationsAccuracy of lesion detectionAdvances and Insights in Positron Emission Tomography Tracers for Metabotropic Glutamate Receptor 4 Imaging
Wang J, Li Y, Fakhri G. Advances and Insights in Positron Emission Tomography Tracers for Metabotropic Glutamate Receptor 4 Imaging. Journal Of Medicinal Chemistry 2024, 67: 10517-10529. PMID: 38924702, PMCID: PMC11290609, DOI: 10.1021/acs.jmedchem.3c02431.Peer-Reviewed Original ResearchConceptsPositive allosteric modulatorsPositron emission tomographyPositron emission tomography radioligandsAllosteric modulatorsMGluR4 positive allosteric modulatorsMetabotropic glutamate receptor subtype 4PET ligandNeurological disordersPositron emission tomography tracersEmission tomographySubtype 4Molecular imaging modalitiesEffective treatmentMetabotropicDisordersParent drugImaging modalitiesPET tracersMGluR4Therapeutic targetPositron emitting radioisotopesSelection of lead compoundsLiving subjectsPositronQuantitative accuracy
2020
Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging
Gong K, Han P, Johnson K, El Fakhri G, Ma C, Li Q. Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 48: 1351-1361. PMID: 33108475, PMCID: PMC8411350, DOI: 10.1007/s00259-020-05061-w.Peer-Reviewed Original ResearchConceptsAttenuation correctionResultsThe Dice coefficientPseudo-CT imagesMR-based AC methodsAccurate ACAC accuracyPET imagingDice coefficientQuantitative accuracyAtlas methodAC methodGradient echoNear verticesTau imagingTau PET imagingAlzheimer's diseaseUltrashortCorrectionTau pathologyRapid acquisitionDeep learning methodsMonitoring of Alzheimer’s diseasePET/MRAmyloid
2019
MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging
Petibon Y, Sun T, Han P, Ma C, Fakhri G, Ouyang J. MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging. Physics In Medicine And Biology 2019, 64: 195009. PMID: 31394518, PMCID: PMC7007962, DOI: 10.1088/1361-6560/ab39c2.Peer-Reviewed Original ResearchConceptsMR-based motion correctionRespiratory motion correctionMotion correctionImproved spatial resolutionReconstructed activity concentrationCardiac PET dataSpatial resolutionCoincidence eventsMR-basedPET imagingContrast-to-noise ratioCardiac PET imagingRespiratory phasesMC dataImprove image qualityMR acquisitionQuantitative accuracyCardiac PETPET dataActivity concentrationsMyocardium wallF-FDG PETDynamics studiesImage qualityMotion artifactsPET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior
Song T, Yang F, Chowdhury S, Kim K, Johnson K, Fakhri G, Li Q, Dutta J. PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Transactions On Computational Imaging 2019, 5: 530-539. PMID: 31723575, PMCID: PMC6853071, DOI: 10.1109/tci.2019.2913287.Peer-Reviewed Original ResearchContrast-to-noise ratioStructural similarity indexHoffman phantomImage deblurringDigital phantomPhantom studyPeak signal-to-noise ratioSuper-resolution frameworkQuantitative accuracySimilarity indexSignal-to-noise ratioSpatial resolutionPhantomImage quantitationSuper-resolutionTau imaging studiesImage qualityPET imagingDeblurringHigh-resolution MR imagingRoot mean square errorSimulation studyBrainWebPost-processingPenalty function
2017
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
Yang J, Hu C, Guo N, Dutta J, Vaina L, Johnson K, Sepulcre J, Fakhri G, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports 2017, 7: 13035. PMID: 29026139, PMCID: PMC5638902, DOI: 10.1038/s41598-017-13339-7.Peer-Reviewed Original ResearchConceptsQuantitative accuracy of PET imagesSpatial resolution of PET scannersAccuracy of PET imagesPET scannerBrain networksPET imagingQuantitative accuracyPartial volume effectsClassification performanceImage registrationPositron emission tomography quantificationPartial volume correctionSpatial resolutionJoint entropyVolume correctionNetwork structure analysisCorrected imagesVolume effectClinical datasetsParameter settingsPositron emission tomographyClassification testsCompare network propertiesNoise sensitivity
2015
Pulmonary imaging using respiratory motion compensated simultaneous PET/MR
Dutta J, Huang C, Li Q, El Fakhri G. Pulmonary imaging using respiratory motion compensated simultaneous PET/MR. Medical Physics 2015, 42: 4227-4240. PMID: 26133621, PMCID: PMC4474958, DOI: 10.1118/1.4921616.Peer-Reviewed Original ResearchConceptsRespiratory motionContrast-to-noise ratioClinical patient studiesPulse sequenceHigh-intensity featuresXCAT studyLow proton densityXCAT simulationPatient studiesXCAT phantomAttenuation mapBiograph mMRComplete data acquisitionSimultaneous PET/MRNonrigid registrationPET/MR scannersPET/magnetic resonanceMagnetic susceptibilityProton densityQuantitative accuracyRelaxation timePulmonary imagingLung lesionsBlurring artifactsDeformation fieldPET Point Spread Function Modeling and Image Deblurring Using a PET/MRI Joint Entropy Prior
Dutta J, Fakhri G, Zhu X, Li Q. PET Point Spread Function Modeling and Image Deblurring Using a PET/MRI Joint Entropy Prior. 2015, 1423-1426. DOI: 10.1109/isbi.2015.7164143.Peer-Reviewed Original ResearchJoint entropyDe-blurring techniqueImage deblurringBrain WebQuantitative accuracy of PETImage spaceEfficient frameworkDeconvolution problemDeblurringCost functionPoint spread function modelPenalty functionHuman datasetsSpatial resolution capabilitiesPET scannerAmplifier noisePET imagingImagesConsistent with MRIQuantitative accuracyPartial volume effectsPhantomDatasetEntropyFunction model
2014
MR‐based motion correction for PET imaging using wired active MR microcoils in simultaneous PET‐MR: Phantom study
Huang C, Ackerman J, Petibon Y, Brady T, Fakhri G, Ouyang J. MR‐based motion correction for PET imaging using wired active MR microcoils in simultaneous PET‐MR: Phantom study. Medical Physics 2014, 41: 041910. PMID: 24694141, PMCID: PMC3978416, DOI: 10.1118/1.4868457.Peer-Reviewed Original ResearchConceptsMotion correctionMR-based motion correctionStatic phantom dataPET quantitative accuracyPET-MRPET-MR scannersSimultaneous PET-MRHoffman phantomList-modePositron emission tomography imagingPET reconstructionBrain positron emission tomographyIterative PET reconstructionPhantom dataPhantomQuantitative accuracyIndependent noise realizationsImage contrastNoise realizationsHead motionPET dataPositron emission tomographyStatic referenceBrain PET scansMotion artifacts
2010
MRI-Assisted PET Motion Correction for Neurologic Studies in an Integrated MR-PET Scanner
Catana C, Benner T, van der Kouwe A, Byars L, Hamm M, Chonde D, Michel C, Fakhri G, Schmand M, Sorensen A. MRI-Assisted PET Motion Correction for Neurologic Studies in an Integrated MR-PET Scanner. Journal Of Nuclear Medicine 2010, 52: 154-161. PMID: 21189415, PMCID: PMC3125596, DOI: 10.2967/jnumed.110.079343.Peer-Reviewed Original ResearchConceptsLines of responseMotion correctionPET motion correctionRigid-body motion correctionMC algorithmPET volumesQuantitative accuracyMR-PET scannersPET image qualityScatter sinogramEcho-planar imagingHoffman phantomSinogram spaceList-modeRandom coincidencesMotion tracking techniquePrototype scannerPhantom volumeImage qualityMR-PETMC methodPET dataSinogramPhantomVolunteer studies
2003
Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET
Holdsworth C, Badawi R, Santos P, Van den Abbeele A, Hoffman E, Fakhri G. Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET. 2003, 4: 2540-2544. DOI: 10.1109/nssmic.2003.1352408.Peer-Reviewed Original ResearchScatter correctionUncorrected imagesPET imagingChannelized Hotelling observerHotelling observerPatient dataPatient imagesQuantitative accuracyLesion detection sensitivityPatient sizePhantomLesion sensitivityPatientsMonteLesionsLesion detectionCorrectionROI analysisIntensity varianceDetection sensitivityPETScatteringAverage absolute bias
2001
Absolute Activity Quantitation From Projections Using an Analytical Approach: Comparison With Iterative Methods in Tc-99M and I-123 Brain SPECT
Fakhri G, Kijewski M, Moore S. Absolute Activity Quantitation From Projections Using an Analytical Approach: Comparison With Iterative Methods in Tc-99M and I-123 Brain SPECT. IEEE Transactions On Nuclear Science 2001, 48: 768. DOI: 10.1109/23.940161.Peer-Reviewed Original ResearchVariable collimator responseI-123 studiesOrdered subsets-expectation maximizationI-123Tc-99mTc-99Brain phantomAttenuation correctionAnthropomorphic brain phantomDigital brain phantomTc-99m studiesMonte Carlo simulated projectionsCollimator responseActivity quantitationPathological patientsBrain structuresBrain SPECTActivity distributionPoor spatial resolutionSPECT activityQuantitative accuracyFitting procedurePartial volume effectsCaudate nucleusCorpus callosum
2000
Should scatter be corrected in both transmission and emission data for accurate quantitation in cardiac SPET?
El Fakhri G, Buvat I, Almeida P, Bendriem B, Todd-Pokropek A, Benali H. Should scatter be corrected in both transmission and emission data for accurate quantitation in cardiac SPET? European Journal Of Nuclear Medicine And Molecular Imaging 2000, 27: 1356-1364. PMID: 11007518, DOI: 10.1007/s002590000304.Peer-Reviewed Original ResearchConceptsTransmission dataSingle-photon emission tomographyActivity distributionSignal-to-noise ratioCardiac single-photon emission tomographyAttenuation-corrected imagesAmount of scatterNarrow transmission windowHot compartmentActivity quantitationTransmission scanEmission dataEmission acquisitionTransmission windowReduced signal-to-noise ratioTransmission scatteringScatteringScattering componentPhantomQuantitative accuracyReduced scatteringAttenuating mediaReconstructed imagesLine sourceEmission
1999
Respective roles of scatter, attenuation, depth-dependent collimator response and finite spatial resolution in cardiac single-photon emission tomography quantitation: a Monte Carlo study
El Fakhri G, Buvat I, Pélégrini M, Benali H, Almeida P, Bendriem B, Todd-Pokropek A, Di Paola R. Respective roles of scatter, attenuation, depth-dependent collimator response and finite spatial resolution in cardiac single-photon emission tomography quantitation: a Monte Carlo study. European Journal Of Nuclear Medicine And Molecular Imaging 1999, 26: 437-446. PMID: 10382086, DOI: 10.1007/s002590050409.Peer-Reviewed Original ResearchConceptsDepth-dependent collimator responseCollimator responseMonte Carlo simulationsActivity underestimationSingle-photon emission tomographyCarlo simulationsSignal-to-noise ratioSpatial resolutionCardiac phantomFWHM spatial resolutionCardiac single-photon emission tomographyQuantitative accuracyAnthropomorphic cardiac phantomPhysical effectsInfluence of scatteringEffect of scatteringScatter countsFull-widthIncreased SNRPoor spatial resolutionScatteringMap homogeneityPhantomMonteImaging system