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
2015
Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CT
Liu H, Chan C, Grobshtein Y, Ma T, Liu Y, Wang S, Stacy MR, Sinusas AJ, Liu C. Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CT. Physics In Medicine And Biology 2015, 60: 6751-6773. PMID: 26296043, PMCID: PMC4747118, DOI: 10.1088/0031-9155/60/17/6751.Peer-Reviewed Original ResearchAnimalsBlood VolumeCardiac-Gated Single-Photon Emission Computer-Assisted TomographyDogsDose-Response Relationship, RadiationErythrocytesHeartHumansImage EnhancementImage Interpretation, Computer-AssistedModels, CardiovascularMyocardial Perfusion ImagingOrganophosphorus CompoundsOrganotechnetium CompoundsPhantoms, ImagingRadiopharmaceuticalsReproducibility of ResultsSwineTissue DistributionTomography, X-Ray Computed