2024
PET imaging of M4 muscarinic acetylcholine receptors in rhesus macaques using [11C]MK-6884: Quantification with kinetic modeling and receptor occupancy by CVL-231 (emraclidine), a novel positive allosteric modulator
Belov V, Guehl N, Duvvuri S, Iredale P, Moon S, Dhaynaut M, Chakilam S, MacDonagh A, Rice P, Yokell D, Renger J, Fakhri G, Normandin M. PET imaging of M4 muscarinic acetylcholine receptors in rhesus macaques using [11C]MK-6884: Quantification with kinetic modeling and receptor occupancy by CVL-231 (emraclidine), a novel positive allosteric modulator. Cerebrovascular And Brain Metabolism Reviews 2024, 44: 1329-1342. PMID: 38477292, PMCID: PMC11342722, DOI: 10.1177/0271678x241238820.Peer-Reviewed Original ResearchConceptsPositive allosteric modulatorsReceptor occupancyNon-human primatesBinding potentialPositron emission tomographyMuscarinic acetylcholine receptorsAllosteric modulatorsNon-human primate brainM4 muscarinic acetylcholine receptorStriatal hyperdopaminergiaAcetylcholine receptorsBrain regionsCaudate nucleusTotal volume of distributionDose-dependent blockReference regionVolume of distributionPositron emission tomography imagingEmission tomographyReceptor levelsFunction of dosePET scansClinical trialsBlood-basedRhesus macaques
2022
Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake
Fu J, Lois C, Sanchez J, Becker J, Rubinstein Z, Thibault E, Salvatore A, Sari H, Farrell M, Guehl N, Normandin M, Fakhri G, Johnson K, Price J. Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake. Cerebrovascular And Brain Metabolism Reviews 2022, 43: 581-594. PMID: 36420769, PMCID: PMC10063833, DOI: 10.1177/0271678x221142139.Peer-Reviewed Original ResearchConceptsPartial volume correctionLongitudinal changesReference regionStandardized uptake valueFollow-up scansExtracerebral signalsAssessment of longitudinal changesCross-sectional effect sizesUptake valuePET uptakeDistribution volumeRegional uptakeArterial samplesExtracerebral contaminationOne-yearCognitively-normalEffect sizePonsGroup differentiationVolume correctionSubject levelSubjects
2021
Quantitative PET in the 2020s: a roadmap
Meikle S, Sossi V, Roncali E, Cherry S, Banati R, Mankoff D, Jones T, James M, Sutcliffe J, Ouyang J, Petibon Y, Ma C, El Fakhri G, Surti S, Karp J, Badawi R, Yamaya T, Akamatsu G, Schramm G, Rezaei A, Nuyts J, Fulton R, Kyme A, Lois C, Sari H, Price J, Boellaard R, Jeraj R, Bailey D, Eslick E, Willowson K, Dutta J. Quantitative PET in the 2020s: a roadmap. Physics In Medicine And Biology 2021, 66: 06rm01. PMID: 33339012, PMCID: PMC9358699, DOI: 10.1088/1361-6560/abd4f7.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceHistory, 20th CenturyHistory, 21st CenturyHumansImage Processing, Computer-AssistedImaging, Three-DimensionalKineticsMedical OncologyNeoplasmsPositron Emission Tomography Computed TomographyPositron-Emission TomographyPrognosisRadiopharmaceuticalsSystems BiologyTomography, X-Ray ComputedConceptsTime-of-flight positron emission tomographyStatistical image reconstructionTotal-body positron emission tomographyPositron emission tomographyQuantitative positron emission tomographyImage reconstructionWhole-body positron emission tomographySensitivity of positron emission tomographyCapabilities of positron emission tomographyImage qualityClinical applicationTracer principleRelevant parametersOncology applicationsPhysicsStatistical qualityExpansion of applicationsEmission tomographyClinical practicePET/MRBiologically relevant parametersSensitive biomarkerPositron
2016
Validation of Bayesian analysis of compartmental kinetic models in medical imaging
Sitek A, Li Q, Fakhri G, Alpert N. Validation of Bayesian analysis of compartmental kinetic models in medical imaging. Physica Medica 2016, 32: 1252-1258. PMID: 27692754, PMCID: PMC5720163, DOI: 10.1016/j.ejmp.2016.09.010.Peer-Reviewed Original ResearchConceptsAccurate estimation of uncertaintyComputer simulationsMedical imagesPosterior distributionDistributed noiseTime series of imagesClosed-formSeries of imagesData setsKinetic parametersMarkov chain Monte Carlo methodsPosterior distributions of kinetic parametersNon-linear least squares methodAccurate estimationComputerLeast-squares methodKinetic modelEstimation of kinetic parametersF18-fluorodeoxyglucoseBayesian estimationImagesStatistical inferenceMonte Carlo methodEstimates of uncertaintyInformationA Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography
Zhu W, Ouyang J, Rakvongthai Y, Guehl N, Wooten D, Fakhri G, Normandin M, Fan Y. A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography. Medical Physics 2016, 43: 1222-1234. PMID: 26936707, PMCID: PMC5025019, DOI: 10.1118/1.4941010.Peer-Reviewed Original ResearchConceptsPositron emission tomographySpatial mixture modelNearby voxelsMixture modelEmission tomographyDynamic positron emission tomographyK-means methodKinetic modelKinetic parametric imagesOne-compartment kinetic modelNovel algorithmTemporal informationClassification purposesMeasurement of local perfusionLocal perfusionTime activity curvesNormal ROIsTemporal modelBayesian algorithmCardiac studiesMarkov chain Monte CarloParameter estimationNoise regionSimulation experimentsSimulated data sets
2013
Direct reconstruction of cardiac PET kinetic parametric images using a preconditioned conjugate gradient approach
Rakvongthai Y, Ouyang J, Guerin B, Li Q, Alpert N, Fakhri G. Direct reconstruction of cardiac PET kinetic parametric images using a preconditioned conjugate gradient approach. Medical Physics 2013, 40: 102501. PMID: 24089922, PMCID: PMC3779266, DOI: 10.1118/1.4819821.Peer-Reviewed Original Research
2012
Single‐scan rest/stress imaging 18F‐labeled flow tracers
Alpert N, Fang Y, Fakhri G. Single‐scan rest/stress imaging 18F‐labeled flow tracers. Medical Physics 2012, 39: 6609-6620. PMID: 23127055, PMCID: PMC3482258, DOI: 10.1118/1.4754585.Peer-Reviewed Original ResearchParametric imaging with Bayesian priors: A validation study with 11C-Altropane PET
Fang Y, Fakhri G, Becker J, Alpert N. Parametric imaging with Bayesian priors: A validation study with 11C-Altropane PET. NeuroImage 2012, 61: 131-138. PMID: 22425668, DOI: 10.1016/j.neuroimage.2012.03.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlgorithmsBayes TheoremBiasCarbon RadioisotopesCocaineData Interpretation, StatisticalFemaleHumansImage Processing, Computer-AssistedKineticsLeast-Squares AnalysisMaleMiddle AgedNeuroimagingNonlinear DynamicsNormal DistributionPopulationPositron-Emission TomographyRadiopharmaceuticalsReference ValuesSample SizeYoung Adult