2025
A novel method for harmonization of PET image spatial resolution without phantoms
Carbonell F, Zijdenbos A, Hempel E, Hajós M, Bedell B. A novel method for harmonization of PET image spatial resolution without phantoms. EJNMMI Physics 2025, 12: 23. PMID: 40082316, PMCID: PMC11906943, DOI: 10.1186/s40658-025-00740-9.Peer-Reviewed Original ResearchPhantom imagesGroup of imagesLinear regression problemSpatial resolutionAlzheimer's Disease Neuroimaging InitiativeRegression problemPET imagingHoffman phantomResolution estimatesEstimation of spatial resolutionMultiple linear regression problemFourier domainImage spatial resolutionPhysical phantomAcquisition of imagesMaximum difference valuePhantom dataPhantomReconstruction parametersScanner modelsIn-planeVoxel sizeFourier transformSubject's PET imageIntensity plots
2022
Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction
Xie H, Thorn S, Chen X, Zhou B, Liu H, Liu Z, Lee S, Wang G, Liu YH, Sinusas AJ, Liu C. Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction. Journal Of Nuclear Cardiology 2022, 30: 86-100. PMID: 35508796, DOI: 10.1007/s12350-022-02972-z.Peer-Reviewed Original ResearchConceptsDeep learningReconstruction qualityImage reconstructionDeep learning methodsDeep neural networksDeep learning resultsImage qualityNetwork trainingSPECT image reconstructionNeural networkLearning methodsHigh image resolutionImage volumesClinical softwareImage metricsImage resolutionReconstruction resultsImproved image qualityTesting dataLearning resultsNetwork resultsPhysical phantomStationary imagingDifferent subjectsLearning
2017
A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT
Wu J, Liu H, Zonouz T, Sandoval VM, Mohy‐ud‐Din H, Lampert RJ, Sinusas AJ, Liu C, Liu Y. A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT. Medical Physics 2017, 44: 6435-6446. PMID: 28994458, DOI: 10.1002/mp.12622.Peer-Reviewed Original Research
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
1992
Quantitative SPECT imaging: compensation for nonuniform attenuation, scatter, and detector divergence
Rajeevan N, Penney B, King M. Quantitative SPECT imaging: compensation for nonuniform attenuation, scatter, and detector divergence. 1992, 995-997 vol.2. DOI: 10.1109/nssmic.1992.301080.Peer-Reviewed Original ResearchPosition-dependent point-spread functionAttenuation mapNonuniform attenuationNonuniform attenuation mapReconstructed SPECT imagesRobust estimation techniquesThree-headed SPECT systemBeam collimationSPECT systemPoint spread functionPhysical phantomChange algorithmEstimation techniquesQuantitative accuracyTransmission dataFocal lineAttenuating mediaScatteringReconstruction algorithmSpread functionScattering responseDetectorSource of activityAlgorithmReconstruction method
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