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 distributionsAutoencoderDiffusion 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
2020
Penalized Parametric PET Image Estimation Using Local Linear Fitting
Kim K, Gong K, Moon S, Fakhri G, Normandin M, Li Q. Penalized Parametric PET Image Estimation Using Local Linear Fitting. IEEE Transactions On Radiation And Plasma Medical Sciences 2020, 4: 750-758. DOI: 10.1109/trpms.2020.3024123.Peer-Reviewed Original ResearchReconstructed framesImage estimationGraphical modelsFull-dose imagesStatic imagesParametric imaging methodFunction extractionPhysiological informationImagesPositron emission tomographyLogan graphical modelConventional methodsPatient studiesKinetic parametersSuboptimalityFrameDynamic imagingTwo-tissue compartment model
2016
Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data
Kim K, Fakhri G, Li Q. Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069385.Peer-Reviewed Original ResearchValidation 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 uncertaintyInformation
2015
Penalized Direct Estimation of Parametric Images in PET
Kim K, Fakhri G, Li Q. Penalized Direct Estimation of Parametric Images in PET. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582182.Peer-Reviewed Original ResearchAlternating direction methodDirection methodHigh noise varianceIterative reconstruction processKinetic parameter imagesTV regularizationNoise varianceDirect reconstructionPhysiological kinetic parametersDirection estimationReconstruction processNeighboring voxelsCost functionRidge regressionRaw measurementsConventional direct methodComputer simulationsDynamic imagingSplitting methodKinetic parametersImagesBrain phantomAccurate parametric imagesPoisson likelihoodPotential images