2024
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision
Xie H, Guo L, Velo A, Liu Z, Liu Q, Guo X, Zhou B, Chen X, Tsai Y, Miao T, Xia M, Liu Y, Armstrong I, Wang G, Carson R, Sinusas A, Liu C. Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision. Medical Image Analysis 2024, 100: 103391. PMID: 39579623, DOI: 10.1016/j.media.2024.103391.Peer-Reviewed Original ResearchImage denoisingPositron range correctionDynamic framesSelf-supervised methodsSuperior visual qualityLow signal-to-noise ratioCardiac PET imagingDenoising methodSignal-to-noise ratioSelf-supervisionVisual qualityHigh-energy positronsRange correctionsDenoisingNoise levelImage spatial resolutionImage qualityDefect contrastPET imagingImage quantificationRadioactive isotopesPatient scansQuantitative accuracyImagesFramePatlak-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
2010
Segmentation of Rat Spinal Cord in PET Using Spatiotemporal Information
Fung E, Weinzimmer D, Strittmatter S, Huang Y, Carson R. Segmentation of Rat Spinal Cord in PET Using Spatiotemporal Information. 2010, 3605-3609. DOI: 10.1109/nssmic.2010.5874483.Peer-Reviewed Original ResearchDynamic PET imagesSegmentation resultsUser definitionTemporal informationSpatiotemporal informationCo-registered imagesSeed pointsManual delineationSegmentationVoxel time activity curvesPET imagesImagesInformationRealistic curvesAnatomical informationLow SNRB-splinesTime-activity curvesComparable resultsSmall numberMethod
2004
Software Architecture of the MOLAR-HRRT Reconstruction Engine
Johnson C, Thada S, Rodriguez M, Zhao Y, Iano-Fletcher A, Liow J, Barker W, Martino R, Carson R. Software Architecture of the MOLAR-HRRT Reconstruction Engine. 2004, 6: 3956-3960. DOI: 10.1109/nssmic.2004.1466744.Peer-Reviewed Original ResearchList-mode algorithmsDistance-based approximationCritical design goalLOR spaceSoftware architectureReconstruction engineComponent architectureEvent packetsList-mode dataRandomized approachDesign goalsImage resolutionPossible LORsPET reconstructionIterative PET reconstructionSensitivity imageComplete systemImage noiseScan framesArchitectureECAT HRRTImagesComplete computationPacketsAlgorithm