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 informationJoint motion estimation and penalized image reconstruction algorithm with anatomical priors for gated TOF-PET/CT
Tsai Y, Liu C. Joint motion estimation and penalized image reconstruction algorithm with anatomical priors for gated TOF-PET/CT. Physics In Medicine And Biology 2023, 68: 025020. PMID: 36549009, DOI: 10.1088/1361-6560/acae19.Peer-Reviewed Original Research
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
2021
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography
Zhou B, Chen X, Zhou SK, Duncan JS, Liu C. DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Analysis 2021, 75: 102289. PMID: 34758443, PMCID: PMC8678361, DOI: 10.1016/j.media.2021.102289.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsHumansImage Processing, Computer-AssistedPhantoms, ImagingTomography, X-Ray ComputedConceptsRecurrent networksSevere streak artifactsRecurrent frameworkArtifact reductionSparse viewsImage domainReconstruction qualityCT metal artifact reductionX-ray projectionsMetal artifact reductionArtifact-free imagesMedical diagnosisPrevious methodsProjection dataConsistent layerExperimental resultsLimited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
Zhou B, Zhou S, Duncan JS, Liu C. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. IEEE Transactions On Medical Imaging 2021, 40: 1792-1804. PMID: 33729929, PMCID: PMC8325575, DOI: 10.1109/tmi.2021.3066318.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsImage Processing, Computer-AssistedNeural Networks, ComputerPhantoms, ImagingTomography, X-Ray ComputedConceptsAttention networkView reconstructionGrand challenge datasetLimited angle reconstructionHigh-quality reconstructionNeural network methodSparse-view reconstructionExperimental resultsLimited angle acquisitionArchitecture issuesSparse viewsChallenge datasetLimited view dataView dataNeural architectureQuality reconstructionNetwork methodTomographic reconstructionReconstructed imagesProjection viewsPrevious methodsAngle reconstructionDatasetNetworkAngle acquisition
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
2017
Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET
Chan C, Onofrey J, Jian Y, Germino M, Papademetris X, Carson RE, Liu C. Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET. IEEE Transactions On Medical Imaging 2017, 37: 504-515. PMID: 29028189, PMCID: PMC7304524, DOI: 10.1109/tmi.2017.2761756.Peer-Reviewed Original ResearchConceptsMotion-compensated image reconstructionMotion fieldImage reconstructionReconstruction algorithmRespiratory motionNon-rigid motionNon-rigid motion correctionSignificant image blurringSystem matrixMotion correctionSystem matrix calculationMotionImage blurringSuperior image qualityTracer concentrationRigid motionReference locationMatrix calculationList-mode reconstruction algorithmMotion correlationDynamics studyImage quality
2016
Noise suppressed partial volume correction for cardiac SPECT/CT
Chan C, Liu H, Grobshtein Y, Stacy MR, Sinusas AJ, Liu C. Noise suppressed partial volume correction for cardiac SPECT/CT. Medical Physics 2016, 43: 5225-5239. PMID: 27587054, PMCID: PMC5001975, DOI: 10.1118/1.4961391.Peer-Reviewed Original Research
2015
The impact of system matrix dimension on small FOV SPECT reconstruction with truncated projections
Chan C, Dey J, Grobshtein Y, Wu J, Liu YH, Lampert R, Sinusas AJ, Liu C. The impact of system matrix dimension on small FOV SPECT reconstruction with truncated projections. Medical Physics 2015, 43: 213-224. PMID: 26745914, PMCID: PMC4691252, DOI: 10.1118/1.4938098.Peer-Reviewed Original ResearchScatter 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 correctionAnatomical-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
2009
The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging
Liu C, Pierce LA, Alessio AM, Kinahan PE. The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging. Physics In Medicine And Biology 2009, 54: 7345-7362. PMID: 19926910, PMCID: PMC2895622, DOI: 10.1088/0031-9155/54/24/007.Peer-Reviewed Original Research