2024
Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising
Liu Q, Guo X, Tsai Y, Gallezot J, Chen M, Guo L, Xie H, Pucar D, Young C, Panin V, Carson R, Liu C. Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655866.Peer-Reviewed Original ResearchPre-trained modelsSelf-supervised learning methodSuperior noise reductionNoise reductionDynamic framesImage quality improvementUpsampling blockSignal-to-noise ratioWeight initializationWeak supervisionDynamic PET datasetsEnhanced noise reductionUNet modelLearning methodsTraining schemeTemporal dataStatic imagesDenoisingReconstruction methodPET datasetsLesion signal-to-noise ratioSize constraintsLesion SNRImagesReconValidation of a Simplified Tissue-to-Reference Ratio Measurement Using SUVR to Assess Synaptic Density Alterations in Alzheimer Disease with [11C]UCB-J PET
Young J, O'Dell R, Naganawa M, Toyonaga T, Chen M, Nabulsi N, Huang Y, Cooper E, Miller A, Lam J, Bates K, Ruan A, Nelsen K, Salardini E, Carson R, van Dyck C, Mecca A. Validation of a Simplified Tissue-to-Reference Ratio Measurement Using SUVR to Assess Synaptic Density Alterations in Alzheimer Disease with [11C]UCB-J PET. Journal Of Nuclear Medicine 2024, jnumed.124.267419. PMID: 39299782, DOI: 10.2967/jnumed.124.267419.Peer-Reviewed Original ResearchDistribution volume ratioSUV ratioSynaptic densityEffect sizeAlzheimer's diseaseLongitudinal study of Alzheimer's diseaseMethods:</b> ParticipantsLongitudinal studyMeasure synaptic densityAD participantsStudy of Alzheimer's diseaseNormal cognitionReference regionOlder adultsMulticenterDensity alterationsPopulation-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification
Liu Q, Tsai Y, Gallezot J, Guo X, Chen M, Pucar D, Young C, Panin V, Casey M, Miao T, Xie H, Chen X, Zhou B, Carson R, Liu C. Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. Medical Image Analysis 2024, 95: 103180. PMID: 38657423, DOI: 10.1016/j.media.2024.103180.Peer-Reviewed Original ResearchDeep Image PriorImage priorsSupervised modelsNoise reductionIntrinsic image featuresDeep learning techniquesU-Net architectureNovel denoising techniqueQuality of parametric imagesDenoising modelDenoising techniquesStatic datasetsBaseline techniquesEffective noise reductionData-driven approachLearning techniquesDynamic datasetsOptimization processPrior informationStatic imagesHigh noise levelsImage featuresDatasetPrior imagePET datasetsSynaptic density patterns in early Alzheimer’s disease assessed by independent component analysis
Fang X, Raval N, O’Dell R, Naganawa M, Mecca A, Chen M, van Dyck C, Carson R. Synaptic density patterns in early Alzheimer’s disease assessed by independent component analysis. Brain Communications 2024, 6: fcae107. PMID: 38601916, PMCID: PMC11004947, DOI: 10.1093/braincomms/fcae107.Peer-Reviewed Original ResearchMedial temporal brain regionsAlzheimer's diseaseTemporal brain regionsCognitive deficitsBrain regionsCognitive impairmentPostmortem studiesBinds to SV2ASynaptic densityReduction of synaptic densityIndependent component analysisSynaptic lossAlzheimerDeficitsImpairmentBrainNeocortexComponent analysisPrimary pathologySV2A
2023
The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J
Toyonaga T, Khattar N, Wu Y, Lu Y, Naganawa M, Gallezot J, Matuskey D, Mecca A, Pittman B, Dias M, Nabulsi N, Finnema S, Chen M, Arnsten A, Radhakrishnan R, Skosnik P, D’Souza D, Esterlis I, Huang Y, van Dyck C, Carson R. The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 1012-1022. PMID: 37955791, DOI: 10.1007/s00259-023-06487-8.Peer-Reviewed Original ResearchSynaptic densityAge-related decreaseMagnetic resonance imagingBlood flowAge-related synaptic lossGray matter volume lossSynaptic density lossPositron emission tomography (PET) ligandSynaptic vesicle glycoprotein 2AVivo PET measurementsMedial occipital cortexGray matter volumeAge-related neurodegenerationGray matter regionsCognitive normal subjectsAge-related changesSynaptic lossNerve terminalsWide age rangeOccipital cortexTomography ligandNormal subjectsGM volumeAge-related functional lossesMatter volumeSynaptic PET Imaging in Neurodegeneration
Chen M, Matuskey D, Finnema S, Carson R. Synaptic PET Imaging in Neurodegeneration. 2023, 157-167. DOI: 10.1007/978-3-031-35098-6_10.ChaptersAlzheimer's diseaseSynaptic densityProgressive supranuclear palsySynaptic vesicle glycoprotein 2ALarge patient cohortPositron emission tomography (PET) biomarkersInitial PET studiesMultiple neurodegenerative diseasesSupranuclear palsyCorticobasal degenerationLewy bodiesPatient cohortSynapse densityTomography biomarkersClinical valueParkinson's diseaseNeurological diseasesBrain regionsFrontotemporal dementiaPET studiesDiseaseNeurodegenerative diseasesHuntington's diseaseMultiple centersSynaptic vesicle membraneAssessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET
Silva-Rudberg J, Salardini E, O'Dell R, Chen M, Ra J, Georgelos J, Morehouse M, Melino K, Varma P, Toyonaga T, Nabulsi N, Huang Y, Carson R, van Dyck C, Mecca A. Assessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET. American Journal Of Geriatric Psychiatry 2023, 32: 17-28. PMID: 37673749, PMCID: PMC10840732, DOI: 10.1016/j.jagp.2023.08.002.Peer-Reviewed Original ResearchSynaptic densityAlzheimer's diseaseMean diffusivitySynaptic lossGray matter microstructureGray matter mean diffusivityDisease pathologyHippocampal synaptic densityMajor pathological correlateSetting of ADAD-related neuropathologySynaptic vesicle glycoprotein 2AHippocampal mean diffusivityAlzheimer's disease pathologyAmyloid-positive participantsMatter mean diffusivityPositron emission tomography (PET) imagingEmission Tomography ImagingGray matter structuresPathological correlatesPositive participantsInverse associationAD groupCognitive impairmentDiseaseMCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction
Guo X, Zhou B, Chen X, Chen M, Liu C, Dvornek N. MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction. IEEE Transactions On Medical Imaging 2023, 42: 3512-3523. PMID: 37368811, PMCID: PMC10751388, DOI: 10.1109/tmi.2023.3290003.Peer-Reviewed Original ResearchMotion estimation blockDeep learning benchmarksGood generalization capabilityMotion correctionMotion correction frameworkMotion prediction errorGeneralization capabilityNetwork performanceNeural networkMotion correction techniqueLearning benchmarksRegistration problemLoss functionEstimation blockLoss optimizationPenalty componentDynamic frameFitting errorSpatial alignmentParametric imagesSpatial misalignmentDynamic positron emission tomographySubject motionPrediction errorCorrection frameworkPrincipal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
O'Dell R, Higgins-Chen A, Gupta D, Chen M, Naganawa M, Toyonaga T, Lu Y, Ni G, Chupak A, Zhao W, Salardini E, Nabulsi N, Huang Y, Arnsten A, Carson R, van Dyck C, Mecca A. Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease. NeuroImage Clinical 2023, 39: 103457. PMID: 37422964, PMCID: PMC10338149, DOI: 10.1016/j.nicl.2023.103457.Peer-Reviewed Original ResearchConceptsCognitive domainsCognitive performanceSubjects' scoresCortical regionsNeuropsychological batteryEarly Alzheimer's diseaseAD groupBilateral regionsNormal participantsNegative loadingsCognitive impairmentCN participantsAlzheimer's diseaseParticipantsStructural correlatesStrong contributionParticipant characteristicsScoresPositive loadingsData-driven approachTotal variancePrincipal component analysisSpecific spatial patternsGeneration of Whole-Body FDG Parametric Ki Images From Static PET Images Using Deep Learning
Miao T, Zhou B, Liu J, Guo X, Liu Q, Xie H, Chen X, Chen M, Wu J, Carson R, Liu C. Generation of Whole-Body FDG Parametric Ki Images From Static PET Images Using Deep Learning. IEEE Transactions On Radiation And Plasma Medical Sciences 2023, 7: 465-472. PMID: 37997577, PMCID: PMC10665031, DOI: 10.1109/trpms.2023.3243576.Peer-Reviewed Original Research
2022
Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging
Guo X, Wu J, Chen M, Liu Q, Onofrey J, Pucar D, Pang Y, Pigg D, Casey M, Dvornek N, Liu C. Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging. IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 344-353. PMID: 37842204, PMCID: PMC10569406, DOI: 10.1109/trpms.2022.3227576.Peer-Reviewed Original ResearchDrug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A
Naganawa M, Gallezot J, Finnema S, Maguire R, Mercier J, Nabulsi N, Kervyn S, Henry S, Nicolas J, Huang Y, Chen M, Hannestad J, Klitgaard H, Stockis A, Carson R. Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A. EJNMMI Research 2022, 12: 71. PMID: 36346513, PMCID: PMC9643320, DOI: 10.1186/s13550-022-00944-5.Peer-Reviewed Original ResearchTime-activity curvesBrain entryDrug concentrationsNon-human primate brainAnti-seizure activitySynaptic vesicle glycoprotein 2APlasma drug concentrationsPrevious human studiesBackgroundAntiepileptic drugsHealthy subjectsBlood samplesHuman studiesLevetiracetamPrimate brainEmission tomography dataBrivaracetamDistribution volumeArterial input functionBrainDrug characteristicsPositron emission tomography dataDrug entryFree fractionDrugsKinetic parameters k1Systemic inflammation enhances stimulant-induced striatal dopamine elevation in tobacco smokers
Zakiniaeiz Y, Hoye J, Ryan Petrulli J, LeVasseur B, Stanley G, Gao H, Najafzadeh S, Ropchan J, Nabulsi N, Huang Y, Chen MK, Matuskey D, Barron DS, Kelmendi B, Fulbright RK, Hampson M, Cosgrove KP, Morris ED. Systemic inflammation enhances stimulant-induced striatal dopamine elevation in tobacco smokers. Brain Behavior And Immunity 2022, 106: 262-269. PMID: 36058419, PMCID: PMC10097458, DOI: 10.1016/j.bbi.2022.08.016.Peer-Reviewed Original ResearchConceptsEffects of LPSDopamine elevationTobacco smokersHealthy controlsSystemic inflammationDopamine systemImmune-brain interactionReward-related brain regionsAdministration of placeboAdministration of LPSSmoking statusRepeated-measures ANOVAPathophysiology of addictionDrug dosingPlaceboIndependent cohortSmokersDrug reinforcementEffect size determinationImmune systemRandomized orderBrain regionsLPSMethylphenidatePBO conditionVirtual high‐count PET image generation using a deep learning method
Liu J, Ren S, Wang R, Mirian N, Tsai Y, Kulon M, Pucar D, Chen M, Liu C. Virtual high‐count PET image generation using a deep learning method. Medical Physics 2022, 49: 5830-5840. PMID: 35880541, PMCID: PMC9474624, DOI: 10.1002/mp.15867.Peer-Reviewed Original ResearchConceptsStructural similarity indexImage quality evaluationDeep learning-based methodsDeep learning methodsImage qualityLearning-based methodsPET datasetsStatic datasetsDL methodsNet networkImage generationPET imagesNetwork inputsImage counterpartsLearning methodsNetwork outputTraining datasetPeak signalPositron emission tomography (PET) imagesQuality evaluationDatasetCross-validation resultsMean square errorHigh-count imagesImagesImaging of Synaptic Density in Neurodegenerative Disorders
Carson RE, Naganawa M, Toyonaga T, Koohsari S, Yang Y, Chen MK, Matuskey D, Finnema SJ. Imaging of Synaptic Density in Neurodegenerative Disorders. Journal Of Nuclear Medicine 2022, 63: 60s-67s. PMID: 35649655, DOI: 10.2967/jnumed.121.263201.Peer-Reviewed Original ResearchConceptsSynaptic densityAlzheimer's diseaseNeurodegenerative disordersNeurodegenerative diseasesSynaptic vesicle protein 2APotential reference regionsSynaptic density lossLewy body dementiaProgressive supranuclear palsyDisease-modifying therapiesSpecific brain proteinsLarge patient cohortAntiepileptic drug levetiracetamPET imaging resultsMultiple neurodegenerative disordersSynaptic lossSupranuclear palsyCorticobasal degenerationNeuropathologic diseasePatient cohortRat modelClinical valueF-FDGParkinson's diseaseEfficacy assessmentDeep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine
Toyonaga T, Shao D, Shi L, Zhang J, Revilla EM, Menard D, Ankrah J, Hirata K, Chen MK, Onofrey JA, Lu Y. Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3086-3097. PMID: 35277742, PMCID: PMC10725742, DOI: 10.1007/s00259-022-05748-2.Peer-Reviewed Original ResearchConceptsNeural networkNovel deep learningNet neural networkPET/CT datasetsImage analysis metricsPhysics-based loss functionDeep learningCT-derived attenuation mapAttenuation mapLoss functionAnalysis metricsDetail recoveryTumor volume estimationMLAACT datasetsOSEM algorithmNetworkAlgorithmAttenuation correctionCorrection frameworkSynaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J
Mecca AP, O'Dell RS, Sharp ES, Banks ER, Bartlett HH, Zhao W, Lipior S, Diepenbrock NG, Chen M, Naganawa M, Toyonaga T, Nabulsi NB, Vander Wyk B, Arnsten AFT, Huang Y, Carson RE, van Dyck C. Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J. Alzheimer's & Dementia 2022, 18: 2527-2536. PMID: 35174954, PMCID: PMC9381645, DOI: 10.1002/alz.12582.Peer-Reviewed Original ResearchConceptsSynaptic densityEarly Alzheimer's diseaseAlzheimer's diseaseCognitive performanceMajor pathological correlateGray matter volumePositron emission tomography (PET) imagingEmission Tomography ImagingPET imaging studiesIndividual cognitive domainsNeuropathologic studiesSignificant positive associationSynapse lossSynaptic alterationsPathological correlatesNeuropsychological test performanceMatter volumeCognitive impairmentSignificant associationImaging studiesDiseaseTomography imagingGlobal cognitionStrongest predictorPositive associationNicotine Patch Alters Patterns of Cigarette Smoking-Induced Dopamine Release: Patterns Relate to Biomarkers Associated With Treatment Response
Zakiniaeiz Y, Liu H, Gao H, Najafzadeh S, Ropchan J, Nabulsi N, Huang Y, Matuskey D, Chen MK, Cosgrove KP, Morris ED. Nicotine Patch Alters Patterns of Cigarette Smoking-Induced Dopamine Release: Patterns Relate to Biomarkers Associated With Treatment Response. Nicotine & Tobacco Research 2022, 24: 1597-1606. PMID: 35100429, PMCID: PMC9575980, DOI: 10.1093/ntr/ntac026.Peer-Reviewed Original ResearchConceptsNicotine replacement therapyDopamine releasePlacebo patchDorsal striatumTobacco smokingReplacement therapyFirst-line pharmacological treatmentVentral striatumMajor public health burdenPositron emission tomography scanEmission tomography scanPublic health burdenNicotine dependence levelNicotine metabolism rateNicotinic acetylcholine receptorsCounter-balanced orderTobacco smokersCigarette smokingSmoking cessationDopamine terminalsPharmacological treatmentDependent smokersFast metabolizersSlow metabolizersNicotine acts
2021
PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients
Liu H, Yousefi H, Mirian N, Lin M, Menard D, Gregory M, Aboian M, Boustani A, Chen M, Saperstein L, Pucar D, Kulon M, Liu C. PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 766-770. PMID: 37284026, PMCID: PMC10241407, DOI: 10.1109/trpms.2021.3131999.Peer-Reviewed Original ResearchAssociation of entorhinal cortical tau deposition and hippocampal synaptic density in older individuals with normal cognition and early Alzheimer's disease
Mecca AP, Chen MK, O'Dell RS, Naganawa M, Toyonaga T, Godek TA, Harris JE, Bartlett HH, Zhao W, Banks ER, Ni GS, Rogers K, Gallezot JD, Ropchan J, Emery PR, Nabulsi NB, Vander Wyk BC, Arnsten AFT, Huang Y, Carson RE, van Dyck CH. Association of entorhinal cortical tau deposition and hippocampal synaptic density in older individuals with normal cognition and early Alzheimer's disease. Neurobiology Of Aging 2021, 111: 44-53. PMID: 34963063, PMCID: PMC8761170, DOI: 10.1016/j.neurobiolaging.2021.11.004.Peer-Reviewed Original ResearchConceptsHippocampal synaptic densitySynaptic densityAlzheimer's diseaseCortical tau depositionEarly neuropathologic changesInitial clinical featuresSynaptic vesicle glycoprotein 2AEarly Alzheimer's diseaseOverall sampleEntorhinal cortical cellsClinical featuresNeuropathologic changesTau depositionTau pathologyInverse associationPerforant pathAD groupSynaptic failureNormal cognitionOlder individualsEarly degenerationDiseaseNormal participantsHippocampusTau