2022
Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT
Sun J, Jiang H, Du Y, Li C, Wu T, Liu Y, Yang B, Mok G. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal Of Nuclear Cardiology 2022, 30: 970-985. PMID: 35982208, DOI: 10.1007/s12350-022-03045-x.Peer-Reviewed Original ResearchConceptsConditional generative adversarial networkGenerative adversarial networkImage qualityAdversarial networkOS-EM methodList-mode dataXCAT phantomPost-reconstruction filteringImagesSPECT projectionsDenoisingMyocardial perfusion SPECTHigh noise levelsPerfusion SPECTFull doseSPECT/CT scansNetworkDifferent anatomical variationsMode dataFilteringMP-SPECTLD imagesIncreasing 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
2009
A novel three‐dimensional image reconstruction method for near‐field coded aperture single photon emission computerized tomography
Mu Z, Hong B, Li S, Liu Y. A novel three‐dimensional image reconstruction method for near‐field coded aperture single photon emission computerized tomography. Medical Physics 2009, 36: 1533-1542. PMID: 19544769, PMCID: PMC2832028, DOI: 10.1118/1.3103490.Peer-Reviewed Original Research
2007
Quantification of nuclear cardiac images: The Yale approach
Liu YH. Quantification of nuclear cardiac images: The Yale approach. Journal Of Nuclear Cardiology 2007, 14: 483-491. PMID: 17679055, DOI: 10.1016/j.nuclcard.2007.06.005.Peer-Reviewed Original Research
2006
Aperture Collimation Correction and Maximum-Likelihood Image Reconstruction for Near-Field Coded Aperture Imaging of Single Photon Emission Computerized Tomography
Mu Z, Liu YH. Aperture Collimation Correction and Maximum-Likelihood Image Reconstruction for Near-Field Coded Aperture Imaging of Single Photon Emission Computerized Tomography. IEEE Transactions On Medical Imaging 2006, 25: 701-711. PMID: 16768235, DOI: 10.1109/tmi.2006.873298.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsData Interpretation, StatisticalFeasibility StudiesHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalLikelihood FunctionsPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityTomography, Emission-Computed, Single-PhotonConceptsX-ray astronomySingle projectionCA imagesCoded Aperture ImagingMLEM reconstruction algorithmNear-field artifactsCollimation effectMaximum-likelihood image reconstructionSPECT systemParallel-hole collimatorImage reconstruction methodImage resolutionAperture imagingCollimationDeconvolution methodDual acquisitionImage reconstructionCount sensitivityImaging techniquesPhoton emissionPinholesReconstruction algorithm
2005
Clinical validation of SPECT attenuation correction using x-ray computed tomography–derived attenuation maps: Multicenter clinical trial with angiographic correlation
Masood Y, Liu Y, DePuey G, Taillefer R, Araujo LI, Allen S, Delbeke D, Anstett F, Peretz A, Zito M, Tsatkin V, Wackers FJ. Clinical validation of SPECT attenuation correction using x-ray computed tomography–derived attenuation maps: Multicenter clinical trial with angiographic correlation. Journal Of Nuclear Cardiology 2005, 12: 676-686. PMID: 16344230, DOI: 10.1016/j.nuclcard.2005.08.006.Peer-Reviewed Original ResearchNew hybrid count- and geometry-based method for quantification of left ventricular volumes and ejection fraction from ECG-gated SPECT: Methodology and validation
Liu YH, Sinusas AJ, Khaimov D, Gebuza BI, Wackers FJ. New hybrid count- and geometry-based method for quantification of left ventricular volumes and ejection fraction from ECG-gated SPECT: Methodology and validation. Journal Of Nuclear Cardiology 2005, 12: 55-65. PMID: 15682366, DOI: 10.1016/j.nuclcard.2004.09.015.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsElectrocardiographyFemaleGated Blood-Pool ImagingHumansImage Interpretation, Computer-AssistedMaleMiddle AgedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificitySeverity of Illness IndexStroke VolumeTomography, Emission-Computed, Single-PhotonVentricular Dysfunction, Left
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