2023
Unsupervised Deep Learning with Self-Validation in Dynamic PET Dose Reduction
Li A, Syed M, Naganawa M, Matuskery D, Carson R, Tang J. Unsupervised Deep Learning with Self-Validation in Dynamic PET Dose Reduction. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10337886.Peer-Reviewed Original ResearchNoise reductionSingle-frame methodsImage featuresImage framesTraining dataUnsupervised methodSpatiotemporal informationKinetic modelingDeep imageDynamic PETHard thresholdComposite imageBetter performanceImagesRobust performanceHigh noiseImaging dataFrame methodVast numberKinetic modeling analysisNoise levelFrameSelf-ValidationDynamic PET imagingCapability
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