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
2019
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT
Shi L, Lu Y, Wu J, Gallezot JD, Boutagy N, Thorn S, Sinusas AJ, Carson RE, Liu C. Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT. IEEE Transactions On Medical Imaging 2019, 39: 119-128. PMID: 31180845, PMCID: PMC7030971, DOI: 10.1109/tmi.2019.2921969.Peer-Reviewed Original ResearchConceptsAppropriate kinetic modelConventional indirect methodImage reconstruction algorithmKinetic modelHigh noise levelsLow count levelsVivo canine studyIndirect methodImage noiseNoise levelParametric reconstructionNoiseReconstruction algorithmFrame imagePatient radiation dose reductionMethodDirect methodLower image noise
2016
T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1
Hu C, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, Peters DC. T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1. Journal Of Cardiovascular Magnetic Resonance 2016, 19: 63. PMID: 28821300, PMCID: PMC5563030, DOI: 10.1186/s12968-017-0375-1.Peer-Reviewed Original ResearchAlgorithmsAnimalsCardiomyopathiesComputer SimulationContrast MediaFeasibility StudiesFemaleFibrosisHeart AtriaHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, CardiovascularMonte Carlo MethodOrganometallic CompoundsPhantoms, ImagingPredictive Value of TestsReproducibility of ResultsSus scrofa
2015
Scatter and crosstalk corrections for 99mTc/123I dual‐radionuclide imaging using a CZT SPECT system with pinhole collimators
Fan P, Hutton BF, Holstensson M, Ljungberg M, Pretorius P, Prasad R, Ma T, Liu Y, Wang S, Thorn SL, Stacy MR, Sinusas AJ, Liu C. Scatter and crosstalk corrections for 99mTc/123I dual‐radionuclide imaging using a CZT SPECT system with pinhole collimators. Medical Physics 2015, 42: 6895-6911. PMID: 26632046, DOI: 10.1118/1.4934830.Peer-Reviewed Original ResearchConceptsDual-radionuclide imagingCrosstalk correction methodTEW methodLine source experimentDefect contrastSource experimentsMonte Carlo simulationsIncomplete charge collectionCadmium zinc telluride detectorsLow-energy tailImaging systemCarlo simulationsPinhole collimatorCardiac SPECT systemEnergy tailDetector effectsEnergy spectrumPoint source measurementsSPECT systemCZT detectorsTriple energy window (TEW) methodScatter modelDedicated cardiac SPECT systemsCorrection methodCrosstalk correction
2012
A three-dimensional model-based partial volume correction strategy for gated cardiac mouse PET imaging
Dumouchel T, Thorn S, Kordos M, DaSilva J, Beanlands RS, deKemp RA. A three-dimensional model-based partial volume correction strategy for gated cardiac mouse PET imaging. Physics In Medicine And Biology 2012, 57: 4309-4334. PMID: 22705820, DOI: 10.1088/0031-9155/57/13/4309.Peer-Reviewed Original Research