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
2022
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction
Zhou B, Chen X, Xie H, Zhou S, Duncan JS, Liu C. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. IEEE Transactions On Medical Imaging 2022, 41: 3587-3599. PMID: 35816532, PMCID: PMC9812027, DOI: 10.1109/tmi.2022.3189759.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsHumansImage Processing, Computer-AssistedMetalsProstheses and ImplantsTomography, X-Ray ComputedDuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT
Chen X, Zhou B, Xie H, Miao T, Liu H, Holler W, Lin M, Miller EJ, Carson RE, Sinusas AJ, Liu C. DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT. Medical Physics 2022, 50: 89-103. PMID: 36048541, PMCID: PMC9868054, DOI: 10.1002/mp.15958.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDeep LearningHeartHominidaeHumansImage Processing, Computer-AssistedTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedConceptsLow reconstruction accuracySynthetic projectionsAbsolute percent errorImage predictionSPECT image reconstructionImage domainSinogram synthesisGround truthReconstruction accuracyImage reconstructionSinogram domainProjection angleData acquisitionMean square errorFast data acquisitionImagesReconstruction artifactsSPECT imagesSquare errorIncreasing 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 ResearchMeSH KeywordsAnimalsDeep LearningHumansImage Processing, Computer-AssistedPhantoms, ImagingSwineTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedConceptsDeep 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 resultsPost-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation
Liu H, Wu J, Shi L, Liu Y, Miller E, Sinusas A, Liu YH, Liu C. Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation. Journal Of Nuclear Cardiology 2021, 29: 2881-2892. PMID: 34671940, DOI: 10.1007/s12350-021-02817-1.Peer-Reviewed Original ResearchPitfalls on PET/CT Due to Artifacts and Instrumentation
Tsai YJ, Liu C. Pitfalls on PET/CT Due to Artifacts and Instrumentation. Seminars In Nuclear Medicine 2021, 51: 646-656. PMID: 34243906, PMCID: PMC8490278, DOI: 10.1053/j.semnuclmed.2021.06.015.Peer-Reviewed Original ResearchArtifactsHumansPositron Emission Tomography Computed TomographyPositron-Emission TomographyTomography, X-Ray ComputedLimited 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 acquisitionCT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network
Chen X, Zhou B, Shi L, Liu H, Pang Y, Wang R, Miller EJ, Sinusas AJ, Liu C. CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network. Journal Of Nuclear Cardiology 2021, 29: 2235-2250. PMID: 34085168, DOI: 10.1007/s12350-021-02672-0.Peer-Reviewed Original Research
2020
Multi-Tracer Positron Emission Tomography Quantification of Sympathetic Innervation Tracer Similarity But Not Equivalence ∗
Sinusas AJ, Liu C. Multi-Tracer Positron Emission Tomography Quantification of Sympathetic Innervation Tracer Similarity But Not Equivalence ∗. JACC Cardiovascular Imaging 2020, 14: 1437-1439. PMID: 33221231, DOI: 10.1016/j.jcmg.2020.10.007.Peer-Reviewed Original ResearchDeep learning-based attenuation map generation for myocardial perfusion SPECT
Shi L, Onofrey JA, Liu H, Liu YH, Liu C. Deep learning-based attenuation map generation for myocardial perfusion SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47: 2383-2395. PMID: 32219492, DOI: 10.1007/s00259-020-04746-6.Peer-Reviewed Original ResearchMeSH KeywordsArtifactsDeep LearningHumansImage Processing, Computer-AssistedPerfusionTomography, Emission-Computed, Single-PhotonTomography, X-Ray Computed
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
2011
Respiratory motion correction for quantitative PET/CT using all detected events with internal—external motion correlation
Liu C, Alessio AM, Kinahan PE. Respiratory motion correction for quantitative PET/CT using all detected events with internal—external motion correlation. Medical Physics 2011, 38: 2715-2723. PMID: 21776808, PMCID: PMC3107832, DOI: 10.1118/1.3582692.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsHumansImage EnhancementImage Interpretation, Computer-AssistedMotionMovementNeoplasmsPositron-Emission TomographyReproducibility of ResultsRespiratory MechanicsRespiratory-Gated Imaging TechniquesSensitivity and SpecificityStatistics as TopicSubtraction TechniqueTomography, X-Ray ComputedConceptsPET listmode dataInternal motionsExternal motion signalExternal respiratory signalListmode dataTumor motion informationRespiratory-gated PET imagesCT attenuation mapsMotion correlationPhantom experimentsRespiratory motion signalMotion degradationMotion correctionTumor motionSUVmax increaseAttenuation mapResidual motionAttenuation correctionSinogramRespiratory motion correctionQuantitative PET/CTMotionReference frameRespiratory motionPET images
2010
Quiescent period respiratory gating for PET/CT
Liu C, Alessio A, Pierce L, Thielemans K, Wollenweber S, Ganin A, Kinahan P. Quiescent period respiratory gating for PET/CT. Medical Physics 2010, 37: 5037-5043. PMID: 20964223, PMCID: PMC2945743, DOI: 10.1118/1.3480508.Peer-Reviewed Original ResearchMeSH KeywordsAgedHumansMiddle AgedPositron-Emission TomographyRespirationRespiratory-Gated Imaging TechniquesRestRetrospective StudiesTomography, X-Ray ComputedConceptsDisplacement signalQuiescent period gatingGating methodRespiratory motion compensationFraction of countsMotion compensationImproved signalSimulation dataNoise propertiesSignal histogramImage noiseMotion blurringImproved compromiseNoise increasesPET framesMaximum amplitudeComputer simulationsMotion artifactsReduced motionNoiseGatePhase gatingPatient respiratory tracesImage quality
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