2024
Population-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 datasets
2019
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT
Shi L, Lu Y, Wu J, Gallezot JD, Boutagy N, Thorn S, Sinusas AJ, Carson RE, Liu C. Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT. IEEE Transactions On Medical Imaging 2019, 39: 119-128. PMID: 31180845, PMCID: PMC7030971, DOI: 10.1109/tmi.2019.2921969.Peer-Reviewed Original ResearchConceptsAppropriate kinetic modelConventional indirect methodImage reconstruction algorithmKinetic modelHigh noise levelsLow count levelsVivo canine studyIndirect methodImage noiseNoise levelParametric reconstructionNoiseReconstruction algorithmFrame imagePatient radiation dose reductionMethodDirect methodLower image noise