2024
Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising
Liu Q, Guo X, Tsai Y, Gallezot J, Chen M, Guo L, Xie H, Pucar D, Young C, Panin V, Carson R, Liu C. Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655866.Peer-Reviewed Original ResearchPre-trained modelsSelf-supervised learning methodSuperior noise reductionNoise reductionDynamic framesImage quality improvementUpsampling blockSignal-to-noise ratioWeight initializationWeak supervisionDynamic PET datasetsEnhanced noise reductionUNet modelLearning methodsTraining schemeTemporal dataStatic imagesDenoisingReconstruction methodPET datasetsLesion signal-to-noise ratioSize constraintsLesion SNRImagesRecon
2011
Respiratory Gating for A Stationary Dedicated Cardiac SPECT System
Liu C, Chan C, Harris M, Le M, Biondi J, Volokh L, Sinusas A. Respiratory Gating for A Stationary Dedicated Cardiac SPECT System. 2011, 2898-2901. DOI: 10.1109/nssmic.2011.6152514.Peer-Reviewed Original ResearchCardiac SPECT systemDedicated cardiac SPECT systemsRespiratory motion correctionTemporal dataSlow gantry rotationData acquisitionCompressive sensorSPECT systemConventional SPECT systemImage qualityMotion correctionRespiratory gating techniquePhysical phantomRespiratory motionContrast recoveryRespiratory gatingUngated imagesImagesRespiratory triggersSystemGating techniqueMyocardial perfusion SPECTUpper abdomenLower chest