2024
Long-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 costsPerformancePhotomultiplierSystemResolutionMetricsElectronMultimodality 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 marginsPoint-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. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656071.Peer-Reviewed Original ResearchAblation Study of Diffusion Model with Transformer Backbone for Low-count PET Denoising
Huang Y, Liu X, Miyazaki T, Omachi S, Fakhri G, Ouyang J. Ablation Study of Diffusion Model with Transformer Backbone for Low-count PET Denoising. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655179.Peer-Reviewed Original ResearchIR tasksImage restorationImage super-resolution taskField of image restorationSuper-resolution taskLatent feature spaceConventional UNetDenoising iterationDenoising taskTransformer backboneDenoising autoencoderTexture restorationVision transformerFeature spaceAblation studiesLearning schemeBackbone networkImage generationDenoisingUNetIR modelPSNRSpatial informationAutoencoderTaskDiffusion-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 distributionsAutoencoderSubject-aware PET Denoising with Contrastive Adversarial Domain Generalization
Liu X, Marin T, Eslahi S, Tiss A, Chemli Y, Johson K, Fakhri G, Ouyang J. Subject-aware PET Denoising with Contrastive Adversarial Domain Generalization. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656150.Peer-Reviewed Original ResearchDomain generalizationDenoising performanceDenoising moduleDeep learningSubject-independent mannerSubject-invariant featuresSuperior denoising performanceAdversarial learning frameworkSubject-related informationConventional UNetBottleneck featuresTrustworthy systemsLearning frameworkDL modelsDL model performanceDenoisingNoise realizationsNegative samplesList-mode dataImage volumesModel performancePerformancePerformance of positron emission tomographyUNetFraction of eventsPET 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 tomographyGateThe role of parvalbumin interneuron dysfunction across neurodegenerative dementias
Smeralda C, Pandit S, Turrini S, Reilly J, Palmisano A, Sprugnoli G, Hampel H, Benussi A, Borroni B, Press D, Rotenberg A, El Fakhri G, Koch G, Rossi S, Santarnecchi E. The role of parvalbumin interneuron dysfunction across neurodegenerative dementias. Ageing Research Reviews 2024, 102509. PMID: 39306248, DOI: 10.1016/j.arr.2024.102509.Peer-Reviewed Original ResearchInterneuron dysfunctionCortical hyperexcitabilityTherapeutic targetCortical excitation/inhibition balanceRhythm disruptionFast-spikingPV+ cellsBasket neuronsPotential therapeutic targetInhibitory interneuronsExcitation/inhibition balanceOscillatory disruptionsSymptom onsetNovel biomarkersHyperexcitabilityDysfunctionNeuronal deathOscillatory activityDementia with Lewy bodiesPathophysiological frameworkClinical symptom onsetFrontotemporal dementiaDesign Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study
Orehar M, Dolenec R, Fakhri G, Korpar S, Križan P, Razdevšek G, Marin T, Žontar D, Pestotnik R. Design Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study. Diagnostics 2024, 14: 1976. PMID: 39272760, DOI: 10.3390/diagnostics14171976.Peer-Reviewed Original ResearchTime-of-flight positron emission tomographyTOF-PET scannerNEMA NU 2Evaluate spatial resolutionPET detectorsNU 2Scintillation materialsBiograph VisionRing scannerLimited-angleScanner designReadout levelsPoint sourcesFlat panel geometryClinical scannerSpatial resolutionReadout strategySingle-crystalImage qualityScintillationScannerFlat panelDesign parametersDetectorDesign optimisationInvestigating muscle coordination patterns with Granger causality analysis in protrusive motion from tagged and diffusion MRI
Park H, Xing F, Stone M, Kang H, Liu X, Zhuo J, Fels S, Reese T, Wedeen V, Fakhri G, Prince J, Woo J. Investigating muscle coordination patterns with Granger causality analysis in protrusive motion from tagged and diffusion MRI. JASA Express Letters 2024, 4: 095201. PMID: 39240196, PMCID: PMC11384280, DOI: 10.1121/10.0028500.Peer-Reviewed Original ResearchThe United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances by Discovery in Radiation Detection
Buchsbaum J, Capala J, Obcemea C, Keppel C, Asai M, Chen G, Christy M, Fakhri G, Gueye P, Pogue B, Ruckman L, Tourassi G, Vetter K, Zhao W, Squires A, Saboury B, Wang G, Domurat‐Sousa K, Weisenberger A. The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances by Discovery in Radiation Detection. Medical Physics 2024 PMID: 39177300, DOI: 10.1002/mp.17333.Peer-Reviewed Original ResearchNational Institutes of HealthState-of-the-artApplication of artificial intelligenceDOE Office of ScienceArtificial intelligenceMedical care advancesImage reconstructionIn-person workshopsOffice of ScienceRadiation detectionHealth collaborationInstitutes of HealthCare advancesIn-personAreas of successAssociations of cerebral amyloid beta and tau with cognition from midlife
Gonzales M, O'Donnell A, Ghosh S, Thibault E, Tanner J, Satizabal C, Decarli C, Fakhri G, Johnson K, Beiser A, Seshadri S, Pase M. Associations of cerebral amyloid beta and tau with cognition from midlife. Alzheimer's & Dementia 2024, 20: 5901-5911. PMID: 39039896, DOI: 10.1002/alz.14060.Peer-Reviewed Original ResearchApolipoprotein E e4Associated with cognitionTau positron emission tomographyPositron emission tomographyWorsening cognitionCommunity-based cohortYoung adultsApolipoprotein EStudy investigated associationsPoor visuospatial skillsDementia preventionTargeted early interventionE4 statusCerebral amyloid-betaEffect modifiersHigher amyloidAPOE e4 carriersCognitive vulnerabilityAssociation of amyloidVisuospatial skillsResilience factorsEarly interventionYounger ageCognitionE4 carriersEffects of List-Mode Based Intra-Frame 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 Intra-Frame Motion Correction in Dynamic Brain PET Imaging. IEEE Transactions On Radiation And Plasma Medical Sciences 2024, PP: 1-1. DOI: 10.1109/trpms.2024.3432322.Peer-Reviewed Original ResearchAdvances 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 accuracyAccelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE
Zhao Y, Li Y, Guo R, Jin W, Sutton B, Ma C, Fakhri G, Li Y, Luo J, Liang Z. Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE. Magnetic Resonance In Medicine 2024, 92: 1310-1322. PMID: 38923032, DOI: 10.1002/mrm.30200.Peer-Reviewed Original ResearchConceptsLow-rank tensor modelGeneralized series modelMetabolite TExperimental resultsBrain metabolitesClinically acceptable scan timeEfficient encodingPhantom experimental resultsAcceptable scan timeNoisy dataSparse samplingImaging problemsData processingHealthy subject dataVariable flip angleFlip angleTensor modelSaturation effectsQuantitative metabolic imagingMRSI techniquePhantomScan timeData acquisitionMetabolic imagingT1 mappingAssociation of T-cell subtypes with macrophage-specific arterial infiltration in PWH.
Schnittman S, Talathi R, Wilks M, Hedgire S, Lu M, Fourman L, Alagpulinsa D, Stockman S, White K, Wallis Z, Autissier P, Stanley T, Lee H, Honigberg M, El-Fakhri G, Williams K, Zanni M, Grinspoon S, Toribio M. Association of T-cell subtypes with macrophage-specific arterial infiltration in PWH. AIDS 2024 PMID: 38905489, DOI: 10.1097/qad.0000000000003967.Peer-Reviewed Original ResearchArterial infiltrationCardiovascular diseaseIncreased risk of cardiovascular diseaseHuman immunodeficiency virusT cell subtypesT lymphocyte subpopulationsRisk of cardiovascular diseaseSystemic monocyte activationCardiovascular disease riskImmunodeficiency virusMonocyte activationHIV statusIncreased riskRelevant to atherogenesisHIVInfiltrationGeneral populationPWHEvidence of interactionSubtypesDiseaseSubpopulationsAtherogenesisDiffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, Fakhri G, Ma C, Ouyang J. Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635805.Peer-Reviewed Original ResearchPosterior distributions of kinetic parametersDenoising diffusion probabilistic modelHyperphosphorylated tauP-tauDiffusion probabilistic modelAlzheimer's diseaseNeurodegenerative diseasesKinetic parametersPosterior distributionInference efficiencyComputational needsEstimate kinetic parametersProbabilistic modelComputation time