2024
Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging
Tiss A, Chemli Y, Guehl N, Marin T, Johnson K, Fakhri G, Ouyang J. Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging. IEEE Transactions On Radiation And Plasma Medical Sciences 2024, 8: 950-958. PMID: 39507127, PMCID: PMC11540417, DOI: 10.1109/trpms.2024.3432322.Peer-Reviewed Original Research
2023
Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model
Dong Y, Jang S, Han P, Johnson K, Ma C, Fakhri G, Li Q, Gong K. Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338188.Peer-Reviewed Original ResearchDiffusion probabilistic modelGenerative adversarial networkConditional encodingAttenuation correctionDenoising diffusion probabilistic modelLow-level featuresProbabilistic modelAttenuation coefficientAdversarial networkExtract featuresPET/MR systemsEncodingPET acquisitionNovel methodDiffusion encodingMagnetic resonanceImagesPET imagingCorrectionMR imagingUNetAttenuationNetworkFeaturesResonanceImpact of motion correction on [18F]-MK6240 tau PET imaging
Tiss A, Marin T, Chemli Y, Spangler-Bickell M, Gong K, Lois C, Petibon Y, Landes V, Grogg K, Normandin M, Becker A, Thibault E, Johnson K, Fakhri G, Ouyang J. Impact of motion correction on [18F]-MK6240 tau PET imaging. Physics In Medicine And Biology 2023, 68: 105015. PMID: 37116511, PMCID: PMC10278956, DOI: 10.1088/1361-6560/acd161.Peer-Reviewed Original ResearchConceptsMotion correctionPET quantitationImpact of motion correctionList-mode reconstructionMotion correction methodList-mode dataMotion-corrected imagesEffect of motion correctionVoxel displacementsPhantom experimentsOptical tracking dataLong acquisitionBrain PET scansSlow motionImage qualityPET imagingPositron emission tomographyCorrectionMotionCorrection methodRates of tau accumulationHead motionMotion metricsPhantomPositron
2022
Cardiac PET/MR Basics
Petibon Y, Ma C, Ouyang J, El Fakhri G. Cardiac PET/MR Basics. 2022, 21-35. DOI: 10.1007/978-3-031-09807-9_2.Peer-Reviewed Original ResearchMeasuring organ motionPET motion correctionFront-end electronicsScintillation detectorOrgan motionMotion correctionAttenuation correctionPET/MR scannersAbility of MRISimultaneous imaging modalityPET/MR technologyAttenuation propertiesHybrid PET/MR scannerPET/MRPre-clinicalImaging modalitiesClinical applicationMRIOrgan systemsCardiac applicationsImaging opportunitiesCorrectionDetectorSpatiotemporal resolutionElectron
2021
Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T
Han P, Marin T, Djebra Y, Landes V, Zhuo Y, Fakhri G, Ma C. Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T. Magnetic Resonance In Medicine 2021, 87: 1832-1845. PMID: 34812547, PMCID: PMC8810588, DOI: 10.1002/mrm.29097.Peer-Reviewed Original ResearchConceptsFlip-angle estimationCardiac T<sub>1</sub> mappingGradient echo readoutThrough-plane spatial resolutionImaging timePractical imaging timesFree breathingPhantom studyB1 correctionAccelerated imagingIn-planeT)-spaceMyocardial T<sub>1</sub> valuesSubspace-based methodsSpatial resolutionImaging experimentsAcquisition schemeT)-space dataSubject-specific timeCorrectionModified Look-Locker inversion recoveryLook-Locker inversion recoveryTime of data acquisitionAverage imaging timeInversion-recovery sequence
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/MRAmyloidMR‐based PET attenuation correction using a combined ultrashort echo time/multi‐echo Dixon acquisition
Han P, Horng D, Gong K, Petibon Y, Kim K, Li Q, Johnson K, Fakhri G, Ouyang J, Ma C. MR‐based PET attenuation correction using a combined ultrashort echo time/multi‐echo Dixon acquisition. Medical Physics 2020, 47: 3064-3077. PMID: 32279317, PMCID: PMC7375929, DOI: 10.1002/mp.14180.Peer-Reviewed Original ResearchConceptsLinear attenuation coefficientPositron emission tomography attenuation correctionPhysical compartmental modelAttenuation correctionShort T<sub>2</sub> componentPET attenuation correctionRadial k-space trajectoryMagnetic resonance (MR)-based methodK-space trajectoriesRadial trajectoryK-spaceAttenuation coefficientDixon acquisitionsPositron emission tomographyWhole white matterMuting methodImage reconstructionImaging speedMR signalMRAC methodPositron emission tomography imagingCorrectionGray matter regionsPhantomMatter regions
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 networkBulk motion detection and correction using list-mode data for cardiac PET imaging
Sun T, Petibon Y, Han P, Ma C, Kim S, Alpert N, Fakhri G, Ouyang J. Bulk motion detection and correction using list-mode data for cardiac PET imaging. Proceedings Of SPIE--the International Society For Optical Engineering 2019, 11072: 110722f-110722f-5. DOI: 10.1117/12.2534701.Peer-Reviewed Original ResearchList-mode dataCardiac PET imagingPET list-mode dataMotion-corrected imagesLines of responsePET imaging applicationsCardiac PETImage qualityBulk motionCardiac PET studiesMotion correctionPET imagingBrain PETMotion estimationData-driven approachMotion detectionImaging applicationsImage spaceMoving frameStatic reference frameMotion transformationCorrectionCenter positionMotionReference frame
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
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
2014
Quantitative simultaneous positron emission tomography and magnetic resonance imaging
Ouyang J, Petibon Y, Huang C, Reese T, Kolnick A, Fakhri G. Quantitative simultaneous positron emission tomography and magnetic resonance imaging. Journal Of Medical Imaging 2014, 1: 033502-033502. PMID: 26158055, PMCID: PMC4306197, DOI: 10.1117/1.jmi.1.3.033502.Peer-Reviewed Original Research
2013
Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR
Ouyang J, Chun Y, Petibon Y, Bonab A, Alpert N, Fakhri G. Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR. IEEE Transactions On Nuclear Science 2013, 60: 3373-3382. PMID: 24966415, PMCID: PMC4067048, DOI: 10.1109/tns.2013.2278624.Peer-Reviewed Original ResearchAttenuation correctionBias imagesLung density variationsPET attenuation correctionPET-MR scannersAttenuation mapFat identificationOriginal CTPET reconstructionOverall standard deviationPET-MRMR imagingVariation of biasDensity variationsCT-based studyPET accuracyPET-CTStandard deviation of biasCorrectionFat segmentationTissue classesPatientsSoft tissueAttenuationLung
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
1999
A new correction method for cross-talk using artificial neural networks: validation in simultaneous technetium and iodine cerebral imaging
Fakhri G, Maksud P, Habert M, Todd-Pokropek A, Aurengo A. A new correction method for cross-talk using artificial neural networks: validation in simultaneous technetium and iodine cerebral imaging. 2011 IEEE Nuclear Science Symposium Conference Record 1999, 2: 1000-1004 vol.2. DOI: 10.1109/nssmic.1999.845830.Peer-Reviewed Original ResearchEnergy window methodMonte CarloHuman brain phantomI-123 imagingGeometric phantomsBrain phantomMC simulationsTc-99mCorrection methodDual-isotope studiesActivity distributionM imagesI-123PhantomAssessment of brain perfusionCross-talkRadionuclidesTc-99Cerebral imagingCorrectionBrain perfusionClinical potentialBackprojectionMonteCarlo
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 ResearchConceptsEnergy spectrumCompton scatteringRadioactive sourcesImages of radioactive sourcesScatter correctionArtificial neural networkNeural networkNumerical Monte Carlo simulationsMonte Carlo simulationsPelvis scansIncident photonsMultilayer neural networkProjection imagesScatteringComptonCarlo simulationsDiffusion mediaSource distributionSpectrum acquisitionEnergyGeometric sourcesHomogeneous mediumCorrectionSpectraNetwork