2024
Cross noise level PET denoising with continuous adversarial domain generalization
Liu X, Eslahi S, Marin T, Tiss A, Chemli Y, Huang Y, Johnson K, Fakhri G, Ouyang J. Cross noise level PET denoising with continuous adversarial domain generalization. Physics In Medicine And Biology 2024, 69: 085001. PMID: 38484401, PMCID: PMC11195012, DOI: 10.1088/1361-6560/ad341a.Peer-Reviewed Original ResearchDomain generalization techniqueDomain generalizationDenoising performanceSuperior denoising performanceLatent feature representationGeneral techniqueDistribution shiftsAdversarial trainingDenoised imageFeature representationDomain labelsDistribution divergenceNoise levelDeep learningImage spaceDenoisingPerformance degradationCore ideaNoise realizationsCD methodNoiseImage volumesPerformanceImagesPSNR
2022
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling
Djebra Y, Marin T, Han P, Bloch I, Fakhri G, Ma C. Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. IEEE Transactions On Medical Imaging 2022, 42: 158-169. PMID: 36121938, PMCID: PMC10024645, DOI: 10.1109/tmi.2022.3207774.Peer-Reviewed Original ResearchConceptsSpace alignmentSampled k-space dataState-of-the-art methodsIntrinsic low-dimensional manifold structureNumerical simulation studyLow-dimensional manifold structureState-of-the-artLinear subspace modelSparsity modelModel-based frameworkSubspace modelManifold structureMathematical modelManifold modelSparse samplingImage reconstructionMRI applicationsDynamic magnetic resonance imagingSpatiotemporal signalsSpatial resolutionPerformanceSimulation studyImagesMethodSparsityPosterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography
Liu X, Marin T, Amal T, Woo J, Fakhri G, Ouyang J. Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography. Medical Physics 2022, 50: 1539-1548. PMID: 36331429, PMCID: PMC10087283, DOI: 10.1002/mp.16078.Peer-Reviewed Original ResearchConceptsConditional variational auto-encoderDeep learning approachNeural networkDeep learningMarkov chain Monte CarloVariational Bayesian inference frameworkLearning approachDeep learning-based approachVariational auto-encoderDeep neural networksLearning-based approachDynamic brain PET imagingPosterior distributionEstimate posterior distributionsBayesian inference frameworkAuto-encoderMedical imagesInference frameworkNetworkSimulation studyBrain PET imagingLearningPosterior estimatesInferior performanceImagesVariational inference for quantifying inter-observer variability in segmentation of anatomical structures
Liu X, Xing F, Marin T, Fakhri G, Woo J. Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 120321m-120321m-6. PMID: 36303579, PMCID: PMC9603619, DOI: 10.1117/12.2604547.Peer-Reviewed Original ResearchSegmentation mapImage dataVariational inference frameworkVariational autoencoder networkMedical image dataInherent information lossMagnetic Resonance (MRSegmentation datasetAutoencoder networkVariational inferenceLatent vectorsInformation lossManual annotationSegmentation methodAleatoric uncertaintyInference frameworkSacrificing accuracyExperimental resultsAnnotationOrgan boundariesInter-observer variabilityImagesELBOMapsSegments
2009
Motion-compensated temporal summation of cardiac gated SPECT images using a deformable mesh model
Marin T, Wernick M, Yang Y, Brankov J. Motion-compensated temporal summation of cardiac gated SPECT images using a deformable mesh model. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 3657-3660. PMID: 19964313, PMCID: PMC2810283, DOI: 10.1109/iembs.2009.5333693.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsCardiac-Gated Imaging TechniquesCardiac-Gated Single-Photon Emission Computer-Assisted TomographyComputer SimulationHeartHumansImage Processing, Computer-AssistedImaging, Three-DimensionalModels, StatisticalMotionPhantoms, ImagingRadiographic Image Interpretation, Computer-AssistedTomography, Emission-Computed, Single-PhotonConceptsDeformable mesh modelMotion blurring artifactsMesh modelCardiac gated SPECT imagingCardiac gated SPECTEstimating heart motionHeart motionNoisy imagesMotion estimationNoise reduction performanceTime dimensionEstimated motionBlurring artifactsIndividual framesPartial volume effectsNoise reductionQuantitative evaluationReduction performanceImagesNoiseSPECT imagesStatic SPECT imagesArtifactsFrameGate sequences
2008
Motion Compensated Spatio-Temporal Filtering of Cardiac Gated SPECT Images
Marin T, Wernick M, Yang Y, Brankov J. Motion Compensated Spatio-Temporal Filtering of Cardiac Gated SPECT Images. 2008, 3734-3737. DOI: 10.1109/nssmic.2008.4774211.Peer-Reviewed Original ResearchMotion estimationTemporal filteringMotion estimation algorithmCardiac gated SPECT imagingTemporal filtering methodsCardiac gated SPECTDeformable mesh modelSpatio-temporal filteringNoise reduction methodLow photon countsMotion blurHeart wall thickeningProcessing algorithmsEstimation algorithmMesh modelReconstructed imagesMyocardium motionFiltering methodAlgorithmGated SPECTGated SPECT imagingHeart motionFilterReduction methodImages