Jinsong Ouyang, PhD
Associate Professor of Radiology and Biomedical ImagingCards
About
Titles
Associate Professor of Radiology and Biomedical Imaging
Appointments
Radiology & Biomedical Imaging
Associate Professor on TermPrimary
Other Departments & Organizations
Education & Training
- PhD
- University of Colorado, Physics (1992)
Research
Publications
2025
Physics-Informed List-Mode Deep Image Prior Reconstruction with Motion Correction in 3D Brain PET
Chemli Y, Najmaoui Y, Normandin M, Fakhri G, Marin T, Ouyang J. Physics-Informed List-Mode Deep Image Prior Reconstruction with Motion Correction in 3D Brain PET. 2021 IEEE Nuclear Science Symposium And Medical Imaging Conference (NSS/MIC) 2025, 1-2. DOI: 10.1109/nss/mic/rtsd57106.2025.11287851.Peer-Reviewed Original ResearchDeep Image PriorList-modeContrast recoveryMotion correctionList-mode eventsReconstructed activity distributionHoffman brain phantomNoise-resolution trade-offML-EM reconstructionLow-count dataResolution phantomBrain phantomBrain positron emission tomographySuper-resolution effectActivity distributionModel attenuationML-EMBack-projection operationsFine structureDown-sampled dataNegative log-likelihoodImage registrationUnsupervised regularizerBack-projectionImage priorsOn Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report).
Xia M, Bayerlein R, Chemli Y, Liu X, Ouyang J, Lin M, El Fakhri G, Badawi R, Li Q, Liu C. On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report). Journal Of Nuclear Medicine 2025, jnumed.125.270653. PMID: 41198241, DOI: 10.2967/jnumed.125.270653.Peer-Reviewed Original ResearchYRT-PET: An Open-Source GPU-Accelerated Image Reconstruction Engine for Positron Emission Tomography
Najmaoui Y, Chemli Y, Toussaint M, Petibon Y, Marty B, Fontaine K, Gallezot J, Razdevsek G, Orehar M, Dhaynaut M, Guehl N, Dolenec R, Pestotnik R, Johnson K, Ouyang J, Normandin M, Tetrault M, Lecomte R, Fakhri G, Marin T. YRT-PET: An Open-Source GPU-Accelerated Image Reconstruction Engine for Positron Emission Tomography. IEEE Transactions On Radiation And Plasma Medical Sciences 2025, PP: 1-1. PMID: 41424471, PMCID: PMC12714321, DOI: 10.1109/trpms.2025.3619872.Peer-Reviewed Original ResearchOpen-sourceImage reconstructionPositron emission tomography image reconstructionReconstruction algorithmAdvanced image reconstruction algorithmsOpen-source toolkitDevelopment of advanced algorithmsTime-of-flightScanner geometryNovel reconstruction algorithmImage reconstruction algorithmMotion correctionReusable codeGPU accelerationTime-of-flight informationPython bindingsPlugin systemSoftware toolkitMeaningful imagesData formatsFast implementationRigid motion correctionAdvanced algorithmsPoint spread function modelProprietary softwareAnatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging
Xia M, Ko K, Wang D, Chen M, Liu Q, Xie H, Guo L, Ji W, Ouyang J, Bayerlein R, Spencer B, Li Q, Badawi R, El Fakhri G, Liu C. Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging. Medical Image Analysis 2025, 107: 103831. PMID: 41076965, PMCID: PMC12551811, DOI: 10.1016/j.media.2025.103831.Peer-Reviewed Original ResearchConceptsPET denoisingDenoising diffusion modelsSuperior performanceImage denoisingDenoised outputMulti-vendorDenoisingInformation diffusionImage informationSegmentation modelAblated versionsDiffusion strategySegmentation methodDice coefficientOrgan segmentationTest casesMulti-task functionRevision moduleTaskImagesAnalysis pipelineSegmentsClinical count levelsTotal lesion glycolysisDatasetBayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, Fakhri G, Ma C, Ouyang J. Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models. IEEE Transactions On Medical Imaging 2025, 44: 5089-5102. PMID: 40663684, PMCID: PMC12318411, DOI: 10.1109/tmi.2025.3588859.Peer-Reviewed Original ResearchPosterior distributions of kinetic parametersEfficiency of deep learningGenerative deep learning modelsConditional variational autoencoderDeep learning modelsComputational efficiencyMetropolis-Hastings MCMCPosterior distributionHyperphosphorylated tauDynamic brain positron emission tomographyWGAN-GPDual decodersWasserstein GANVariational autoencoderKinetic parametersDeep learningComputational needsBayesian inferenceP-tauLearning modelsAlzheimer's diseaseNeurodegenerative diseasesComputation timeMCMC methodsEstimation of kinetic parametersMixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
Wei J, Zhao X, Woo J, Ouyang J, El Fakhri G, Chen Q, Liu X. Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation. 2008 IEEE Computer Society Conference On Computer Vision And Pattern Recognition Workshops 2025, 00: 6450-6460. PMID: 41069640, PMCID: PMC12506896, DOI: 10.1109/cvprw67362.2025.00642.Peer-Reviewed Original ResearchSingle domain generalizationEnd-to-endShape priorsGeneralization capabilityEnd-to-end mannerDictionary learning methodMedical image segmentationMixture-of-expertsMultiple public datasetsShape mapsDictionary atomsDictionary learningDictionary sizeShape dictionaryRepresentational powerDomain generalizationPublic datasetsGating networkImage segmentationMedical segmentationLearning methodsShape informationDictionaryBidirectional integrationOverfittingDual Prompting for Diverse Count-Level Pet Denoising
Liu X, Huang Y, Marin T, Vafay Eslahi S, Tiss A, Chemli Y, Johnson K, El Fakhri G, Ouyang J. Dual Prompting for Diverse Count-Level Pet Denoising. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2025, 00: 1-5. PMID: 40831530, PMCID: PMC12360122, DOI: 10.1109/isbi60581.2025.10980695.Peer-Reviewed Original ResearchPET Mapping of Receptor Occupancy Using Joint Direct Parametric Reconstruction
Marin T, Belov V, Chemli Y, Ouyang J, Najmaoui Y, Fakhri G, Duvvuri S, Iredale P, Guehl N, Normandin M, Petibon Y. PET Mapping of Receptor Occupancy Using Joint Direct Parametric Reconstruction. IEEE Transactions On Biomedical Engineering 2025, 72: 1057-1066. PMID: 39446540, PMCID: PMC11875991, DOI: 10.1109/tbme.2024.3486191.Peer-Reviewed Original ResearchCentral nervous systemReceptor occupancyLow-binding regionsPET scansSimulation resultsPreclinical in vivo experimentsDynamic PET scansPairs of baselineEstimation of receptor occupancyEstimation frameworkPET neuroimagingReconstruction frameworkModulating drugsTime activity curvesParametric reconstructionDevelopment of drugs
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 distributionsAutoencoderPET 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 reconstruction