2022
PET respiratory motion correction: quo vadis?
Lamare F, Bousse A, Thielemans K, Liu C, Merlin T, Fayad H, Visvikis D. PET respiratory motion correction: quo vadis? Physics In Medicine And Biology 2022, 67: 03tr02. PMID: 34915465, DOI: 10.1088/1361-6560/ac43fc.Peer-Reviewed Original ResearchConceptsRespiratory motion correctionPET respiratory motion correctionMotion correctionGeneric motion modelImage reconstruction processRespiratory motion informationMotion estimationMotion informationTerms of synchronizationImage spaceSynchronization stepsReconstruction processMotion modelOverall approachPET/magnetic resonance imagingDevice systemRespiratory motionImaging devicesMRI deviceDevicesSynchronizationNumber of stepsComprehensive coverageDatasetGreat interest
2021
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning
Shi L, Lu Y, Dvornek N, Weyman CA, Miller EJ, Sinusas AJ, Liu C. Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. IEEE Transactions On Medical Imaging 2021, 40: 3293-3304. PMID: 34018932, PMCID: PMC8670362, DOI: 10.1109/tmi.2021.3082578.Peer-Reviewed Original ResearchConceptsConvolutional neural networkRegistration-based methodMotion correctionDynamic frameTracer distribution changeDynamic image dataPatient motion correctionPatient scansDeep learningPatient motionMotion estimationImage dataLSTM networkNeural networkRealistic patient motionTemporal informationMotion correction methodMotion detectionCardiac PETClinical workflowRigid translational motionFlow estimationNetworkPatient datasetsSuperior performance
2019
Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET
Lu Y, Gallezot JD, Naganawa M, Ren S, Fontaine K, Wu J, Onofrey JA, Toyonaga T, Boutagy N, Mulnix T, Panin VY, Casey ME, Carson RE, Liu C. Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET. Physics In Medicine And Biology 2019, 64: 065002. PMID: 30695768, DOI: 10.1088/1361-6560/ab02c2.Peer-Reviewed Original Research
2018
Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data
Lu Y, Fontaine K, Mulnix T, Onofrey JA, Ren S, Panin V, Jones J, Casey ME, Barnett R, Kench P, Fulton R, Carson RE, Liu C. Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data. Journal Of Nuclear Medicine 2018, 59: 1480-1486. PMID: 29439015, PMCID: PMC6126443, DOI: 10.2967/jnumed.117.203000.Peer-Reviewed Original ResearchConceptsMotion correction frameworkMotion informationReference gatePET reconstructionMotion estimation accuracyGated PET dataMotion compensation approachMotion correctionMotion compensation methodMotion estimationRespiratory motion compensationAttenuation correction artifactsLung cancer datasetMotion compensationCT imagesNAC approachReconstruction algorithmPET dataPET imagesNew frameworkInaccurate localizationCancer datasetsBreathing variationsAttenuation correction mapsHuman datasets
2013
Event‐by‐event respiratory motion correction for PET with 3D internal‐1D external motion correlation
Chan C, Jin X, Fung EK, Naganawa M, Mulnix T, Carson RE, Liu C. Event‐by‐event respiratory motion correction for PET with 3D internal‐1D external motion correlation. Medical Physics 2013, 40: 112507. PMID: 24320466, DOI: 10.1118/1.4826165.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Non-Small-Cell LungFluorine RadioisotopesHealthy VolunteersHumansHypoxiaImage Processing, Computer-AssistedImaging, Three-DimensionalInsulin-Secreting CellsKidneyLung NeoplasmsMisonidazoleMovementPancreasPositron-Emission TomographyRegression AnalysisReproducibility of ResultsRespirationSignal Processing, Computer-AssistedTetrabenazineX-Ray Microtomography
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
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