Georges El Fakhri, PhD, DABR
Elizabeth Mears and House Jameson Professor of Radiology and Biomedical Imaging and of Biomedical Informatics & Data ScienceCards
About
Research
Publications
2024
Diffusion-based Bayesian posterior distribution prediction of kinetic parameters in dynamic PET
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, Fakhri G, Ma C, Ouyang J. Diffusion-based Bayesian posterior distribution prediction of kinetic parameters in dynamic PET. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657955.Peer-Reviewed Original ResearchConditional variational autoencoderEfficient deep learning-based approachMarkov chain Monte CarloDenoising diffusion probabilistic modelDeep learning-based approachDiffusion probabilistic modelLearning-based approachApproximate posterior distributionPosterior distributionVariational autoencoderHeavy computationTau protein aggregationBayesian inferenceProbabilistic modelData-drivenStudy molecular processesBayesian posterior distributionProtein aggregationMetropolis-Hastings Markov chain Monte CarloMolecular processesAlzheimer's diseaseNeurodegenerative diseasesKinetic parametersEstimate posterior distributionsAutoencoderMultimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI
Ma C, Han P, Marin T, Zhuo Y, Shih H, Fakhri G. Multimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10656528.Peer-Reviewed Original ResearchList-mode dataMR spectroscopic imagingSpatial resolutionAccurate brain tumor delineationMR physicsIsotropic resolutionBrain tumor delineationImprove treatment planningSpectroscopic imagingTumor delineationSignal-to-noise ratioIntact blood-brain barrierImaging speedAmino acid radiotracerImaging timeMR signalHigher proliferation activityStructural MRTreatment planningBlood-brain barrierMR spectroscopic imaging dataMolecular imaging of brain tumorsTumor involvementTumor infiltrationTumor marginsPET motion correction using subspace-based real-time MR imaging in simultaneous PET/MR
Mounime I, Marin T, Han P, Ouyang J, Gori P, Angelini E, Fakhri G, Ma C. PET motion correction using subspace-based real-time MR imaging in simultaneous PET/MR. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657647.Peer-Reviewed Original ResearchOrdered-subset expectation maximizationMotion correctionGated reconstructionsMotion-corrected PET reconstructionsPET eventsCardiac motion phasesMotion correction methodCardiac motionMotion phaseReconstructed dynamic imagesPET reconstructionReal-time MR imagingSimultaneous PET/MRPatient motionSoft tissue contrastDynamic MR image reconstructionReference phaseMitigate artifactsLow-rank propertyMR image reconstructionPositron emission tomographyManifold learning frameworkSpatial resolutionBlurring artifactsImage reconstructionDIANA - 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 detectionIntegration of a continuously varying image-space PSF for a dual-panel ultra-high TOF-PET scanner
Chemli Y, Marin T, Orehar M, Dolenec R, Normandin M, Gascón D, Gola A, Grogg K, Pavón G, Razdevsek G, Pestotnik R, Fakhri G. Integration of a continuously varying image-space PSF for a dual-panel ultra-high TOF-PET scanner. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656225.Peer-Reviewed Original ResearchGaussian mixture modelGaussian process regressionPoint spread functionAccurate image reconstructionMaximum likelihood estimation maximizationShift-variant convolutionsImage reconstructionMixture modelProcess regressionEstimation maximizationTime-of-flight (TOFPanel architectureSpread functionArchitectureParameter interpolationHigh resolution time-of-flight (TOFTOF-PET scannerBrain phantomFitting processPositron emission tomography scannerSimulated point sourcesConvolutionAlgorithmEffective diagnosisSize benefitsFlat Panel TOF-PET Detectors: a Simulation Study
Orehar M, Dolenec R, Fakhri G, Gascón D, Gola A, Korpar S, Križan P, Razdevšek G, Marin T, Chemli Y, Žontar D, Pestotnik R. Flat Panel TOF-PET Detectors: a Simulation Study. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658250.Peer-Reviewed Original ResearchTime resolutionAngular coverageFlat-panel detectorScintillation materialsGATE softwareAxial coverageBiograph VisionPanel detectorTotal-body coverageClinical scannerImage reconstructionDetectorReconstructed imagesHomogeneous contrastCylindrical scannerImage qualityState-of-the-artScintillationHigh-performance computingScannerPhantomResolutionCore hoursPositron emission tomographyGateLong-Axial Field-Of-View Limited-Angle PET System with Ultra-High Time-Of-Flight and Depth-Of-Interaction
Marin T, Chemli Y, Razdevšek G, Zhuo Y, Orehar M, Najmaoui Y, Dolenec R, Gascon D, Gola A, Benlloch J, Alamo J, Barbera J, Fernandez-Tenllado J, Gomez S, Korpar S, Krizan P, Majewski S, Manera R, Mariscal-Castilla A, Mauricio J, Merzi S, Morera C, Pavon G, Pavon N, Penna M, Seljak A, Studen A, Zontar D, Pestotnik R, Fakhri G. Long-Axial Field-Of-View Limited-Angle PET System with Ultra-High Time-Of-Flight and Depth-Of-Interaction. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658297.Peer-Reviewed Original ResearchDepth of interactionDepth-of-interaction resolutionTime-of-flightPET systemImage quality metricsTime-of-flight resolutionField-of-view scanningSacrificing image qualityQuality metricsSilicon photomultipliersDetector panelPET instrumentationImage qualityResolution systemAngle geometryGeometric correctionReduce costsPerformancePhotomultiplierSystemResolutionMetricsElectronRadiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation
Beddok A, Orlhac F, Rozenblum L, Calugaru V, Créhange G, Dercle L, Nioche C, Thariat J, Marin T, El Fakhri G, Buvat I. Radiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation. Cancer/Radiothérapie 2024 PMID: 39406602, DOI: 10.1016/j.canrad.2024.09.002.Peer-Reviewed Original ResearchPersonalized radiotherapyTumor localizationTreatment planningMedian AUCImaging modalitiesRisk of recurrenceHead and neckImprove treatment precisionPredicting clinical outcomesOptimal treatment planQuantitative imaging biomarkersRecurrent tumorsApplication of radiomicsRecurrent cancerClinical radiotherapyExternal validationClinical outcomesRadiotherapyReirradiationLack of external validationMEDLINE searchTreatment precisionImaging biomarkersImaging protocolTumorFree‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
Lee W, Han P, Marin T, Mounime I, Eslahi S, Djebra Y, Chi D, Bijari F, Normandin M, Fakhri G, Ma C. Free‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model. Magnetic Resonance In Medicine 2024 PMID: 39402014, DOI: 10.1002/mrm.30284.Peer-Reviewed Original ResearchExtracellular volume mappingContrast agent injectionExtracellular volumeGradient echo readoutECV mapsAgent injectionWhole heartEcho readoutExtracellular volume valuesVoxel-by-voxelInversion recovery sequenceSpatial resolutionScan timeImaging timeIn vivo studiesHealthy volunteersModel-based methodsRecovery sequenceInjectionReadoutPoint-supervised Brain Tumor Segmentation with Box-prompted Medical Segment Anything Model
Liu X, Woo J, Ma C, Ouyang J, Fakhri G. Point-supervised Brain Tumor Segmentation with Box-prompted Medical Segment Anything Model. 2011 IEEE Nuclear Science Symposium Conference Record 2024, 00: 1-1. PMID: 39445308, PMCID: PMC11497479, DOI: 10.1109/nss/mic/rtsd57108.2024.10656071.Peer-Reviewed Original Research