2024
Fast Energy-Based Scatter Correction for 3D TOF-PET on NeuroExplorer
Guo L, Fontaine K, Gravel P, Mulnix T, Zhang J, Liu C, Carson R. Fast Energy-Based Scatter Correction for 3D TOF-PET on NeuroExplorer. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10657901.Peer-Reviewed Original ResearchSingle scatter simulationScatter estimationEnergy spectrumTOF binsField of viewAxial field-of-viewHigh-energy scatteringLong axial field-of-viewLow-activity regionsList-mode dataEnergy informationTOF-PETContrast phantomUniform phantomScattering phantomCounting statisticsScatter correctionOSEM reconstructionMultiple-scatteringScatteringScattering simulationsPhantomEvent distributionImproved contrastMonte-CarloExperimental Evaluation of DE-SPECT: A Hyperspectral SPECT System for Region-Selective 3-D Gamma-Ray Spectroscopy of Molecular Theragnostics
Jin Y, Zannoni E, Sankar P, Gura D, Wu R, Zhu S, Zhang F, Streicher M, Yang H, He Z, Metzler S, Liu C, Sinusas A, Meng L. Experimental Evaluation of DE-SPECT: A Hyperspectral SPECT System for Region-Selective 3-D Gamma-Ray Spectroscopy of Molecular Theragnostics. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10657212.Peer-Reviewed Original ResearchCadmium zinc tellurideCadmium zinc telluride detectorsGamma-ray spectroscopyHigh-sensitivity imagingUniform phantomResolution phantomSPECT systemZinc telluridePhantom studyImage qualityPhantomImaging capabilitiesImaging performanceAperture systemFOVMultiple radiotracersHigh-resolutionCollimatorDual-field-of-viewPeripheral vascular diseaseDetectorState-of-the-art technologiesTellurideClinical systems
2022
The Impact of Additional Sampling on Hot-Spot Contrast for DE-SPECT
Metzler S, Zannoni E, Sankar P, Liu C, Sinusas A, Meng L. The Impact of Additional Sampling on Hot-Spot Contrast for DE-SPECT. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399030.Peer-Reviewed Original ResearchHot spot phantomCollimator configurationCZT moduleAxial shiftDetector positionSensitivity dropsSample positionHot spotsNominal positionPhantomPeripheral arterial diseaseOptimal contrastCollimatorActuator switchingCZTArtery diseaseNoise levelDetectorConfigurationSmall axial shiftsShiftEvaluate contrastOptimal tradeoffEvent-by-Event 3D Continuous Motion Correction Based on a Data-Driven Motion Estimation Algorithm for 82Rb Myocardial Perfusion Imaging
Tsai Y, Fontaine K, Mulnix T, Armstrong I, Hayden C, Spottiswoode B, Casey M, Liu C. Event-by-Event 3D Continuous Motion Correction Based on a Data-Driven Motion Estimation Algorithm for 82Rb Myocardial Perfusion Imaging. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399100.Peer-Reviewed Original ResearchMotion correctionData-driven motion estimationPET/CT scannerSuperior-inferior motionMotion effectsSilicon photomultipliersNEMA phantomReconstruction frameworkPET acquisitionReconstructed image qualityCardiac PETMotion estimation algorithmPatient datasetsImage qualityMyocardial perfusion imagingCorrectionMotion monitoringTemporal resolutionSiPMMotionPhotomultiplierMotion estimationMotion vectorsPhantomCorrection algorithm