2024
Design and development of the DE-SPECT system: a clinical SPECT system for broadband multi-isotope imaging of peripheral vascular disease
Zannoni E, Sankar P, Jin Y, Liu C, Sinusas A, Metzler S, Meng L. Design and development of the DE-SPECT system: a clinical SPECT system for broadband multi-isotope imaging of peripheral vascular disease. Physics In Medicine And Biology 2024, 69: 125016. PMID: 38815617, PMCID: PMC11167601, DOI: 10.1088/1361-6560/ad5266.Peer-Reviewed Original ResearchConceptsCadmium zinc tellurideSPECT systemField of viewExcellent spectroscopic performanceExcellent energy resolutionBroad energy rangeIntrinsic spatial resolutionSpatial resolutionClinical SPECT systemEnergy resolutionPeripheral vascular diseaseEnergy rangeMm FWHMSpectroscopic performanceZinc tellurideWide-FOVCollimatorPreliminary experimental dataPartial ringDetection systemImaging capabilitiesImaging performanceExtremity imagingVascular diseaseScout images
2023
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT
Chen X, Zhou B, Xie H, Guo X, Zhang J, Duncan J, Miller E, Sinusas A, Onofrey J, Liu C. DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Analysis 2023, 88: 102840. PMID: 37216735, PMCID: PMC10524650, DOI: 10.1016/j.media.2023.102840.Peer-Reviewed Original ResearchMeSH KeywordsHeartHumansImage Processing, Computer-AssistedPhantoms, ImagingTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedConceptsCross-modality registrationConvolutional layersCo-attention mechanismMultiple convolutional layersCo-attention moduleDifferent convolutional layersMedical image registrationInput data streamDeep learning strategiesLow registration errorIntensity-based registration methodCardiac SPECTΜ-mapsDeep learningFeature fusionData streamsInput imageSource codeFeature mapsNeural networkImage registrationSpatial featuresRegistration performanceRegistration methodInput information
2015
Simultaneous CT-MRI Reconstruction for Constrained Imaging Geometries Using Structural Coupling and Compressive Sensing
Xi Y, Zhao J, Bennett J, Stacy M, Sinusas A, Wang G. Simultaneous CT-MRI Reconstruction for Constrained Imaging Geometries Using Structural Coupling and Compressive Sensing. IEEE Transactions On Biomedical Engineering 2015, 63: 1301-1309. PMID: 26672028, PMCID: PMC4930897, DOI: 10.1109/tbme.2015.2487779.Peer-Reviewed Original ResearchMeSH KeywordsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingTomography, X-Ray ComputedConceptsMRI image reconstructionImage estimation methodCompressive sensing techniquesUnified reconstruction frameworkNovel research directionsMRI reconstructionReconstruction frameworkCompressive sensingImage reconstructionPrior knowledgeDifferent modalitiesReconstruction methodologyResearch directionsInstantaneous acquisitionMRI dataPromising resultsImaging geometrySeparate reconstructionBetter CTNumerical phantomImproved resultsMRI acquisitionSensing techniquesEstimation methodApplications
1999
Quantification of regional myocardial wall thickening on electrocardiogram-gated SPECT imaging
Shen M, Liu Y, Sinusas A, Fetterman R, Bruni W, Drozhinin O, Zaret B, Wackers F. Quantification of regional myocardial wall thickening on electrocardiogram-gated SPECT imaging. Journal Of Nuclear Cardiology 1999, 6: 583-595. PMID: 10608585, DOI: 10.1016/s1071-3581(99)90095-8.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputer SimulationDiastoleElectrocardiographyHeart VentriclesHumansImage Processing, Computer-AssistedModels, CardiovascularMyocardial InfarctionObserver VariationPhantoms, ImagingPilot ProjectsRadiopharmaceuticalsReproducibility of ResultsSoftwareSystoleTechnetium Tc 99m SestamibiTomography, Emission-Computed, Single-PhotonVentricular Function, LeftVentricular RemodelingVentriculography, First-PassConceptsPrior myocardial infarctionRegional wall thickeningNormal subjectsMyocardial infarctionWall thickeningNormal wall thickeningPilot studyRegional left ventricular functionLeft ventricular functionAbnormal wall thickeningPercent count increaseECG-gated SPECT imagesSingle photon emissionSPECT imagesCardiac cycleLeft ventricular wallReproducibility of interpretationRegional left ventricular wallPrior infarctionCoronary diseaseVentricular functionValidation studyInfarct areaNormal rangeAnatomic areasQuantification of SPECT myocardial perfusion images: Methodology and validation of the Yale-CQ method
Liu Y, Sinusas A, DeMan P, Zaret B, Wackers F. Quantification of SPECT myocardial perfusion images: Methodology and validation of the Yale-CQ method. Journal Of Nuclear Cardiology 1999, 6: 190-203. PMID: 10327104, DOI: 10.1016/s1071-3581(99)90080-6.Peer-Reviewed Original Research