2023
Markerless head motion tracking and event-by-event correction in brain PET
Zeng T, Lu Y, Jiang W, Zheng J, Zhang J, Gravel P, Wan Q, Fontaine K, Mulnix T, Jiang Y, Yang Z, Revilla E, Naganawa M, Toyonaga T, Henry S, Zhang X, Cao T, Hu L, Carson R. Markerless head motion tracking and event-by-event correction in brain PET. Physics In Medicine And Biology 2023, 68: 245019. PMID: 37983915, PMCID: PMC10713921, DOI: 10.1088/1361-6560/ad0e37.Peer-Reviewed Original ResearchConceptsPoint source studyHead motion correctionSmaller residual displacementMotion correctionIterative closest point (ICP) registration algorithmHead motion trackingSpatial resolutionResidual displacementData-driven evaluation methodHigh spatial resolutionLow noiseMotion trackingStereovision cameraMotion tracking deviceStructured lightEvent correctionBrain positron emission tomography (PET) imagingTracking deviceReconstruction resultsHMT methodPoint cloudsNegative biasReference cloudUMTEvaluation method
2020
Data-Driven Motion Detection and Event-by-Event Correction for Brain PET: Comparison with Vicra
Lu Y, Naganawa M, Toyonaga T, Gallezot JD, Fontaine K, Ren S, Revilla EM, Mulnix T, Carson RE. Data-Driven Motion Detection and Event-by-Event Correction for Brain PET: Comparison with Vicra. Journal Of Nuclear Medicine 2020, 61: 1397-1403. PMID: 32005770, PMCID: PMC7456171, DOI: 10.2967/jnumed.119.235515.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBrainHumansImage Processing, Computer-AssistedMovementPositron-Emission TomographyConceptsData-driven algorithmMotion correction methodMotion tracking informationHead motionCentroid of distributionMotion-compensated reconstructionLarge head motionsMotion correction frameworkUser-defined thresholdPET raw dataDynamic datasetsTracking informationImage registrationMotion detectionRaw dataSuch time pointsImage qualityBetter performanceMotion correctionAlgorithmLine of responseCorrection frameworkBrain PET studiesCentral coordinatesTracer kinetic modeling
2019
Event-by-event non-rigid data-driven PET respiratory motion correction methods: comparison of principal component analysis and centroid of distribution
Ren S, Lu Y, Bertolli O, Thielemans K, Carson RE. Event-by-event non-rigid data-driven PET respiratory motion correction methods: comparison of principal component analysis and centroid of distribution. Physics In Medicine And Biology 2019, 64: 165014. PMID: 30822762, DOI: 10.1088/1361-6560/ab0bc9.Peer-Reviewed Original ResearchData-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
2017
Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels
Germino M, Gallezot JD, Yan J, Carson RE. Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels. Physics In Medicine And Biology 2017, 62: 5344-5364. PMID: 28504644, PMCID: PMC5783541, DOI: 10.1088/1361-6560/aa731f.Peer-Reviewed Original ResearchData-driven event-by-event respiratory motion correction using TOF PET list-mode centroid of distribution
Ren S, Jin X, Chan C, Jian Y, Mulnix T, Liu C, Carson RE. Data-driven event-by-event respiratory motion correction using TOF PET list-mode centroid of distribution. Physics In Medicine And Biology 2017, 62: 4741-4755. PMID: 28520558, PMCID: PMC6048592, DOI: 10.1088/1361-6560/aa700c.Peer-Reviewed Original ResearchConceptsData-driven eventsRespiratory motion correctionSignificant image quality improvementMotion correctionEvent respiratory motion correctionExternal motion tracking systemPET list-mode dataRespiratory motionMotion tracking systemImage quality improvementMotion correction techniqueReconstruction frameworkMotion correction methodDistribution algorithmMotion-induced blurList-mode dataTracking systemFurther processingGated reconstructionsImage noiseRespiratory gating techniqueHuman scansRadioactive eventsContrast recoveryAnzai
2013
Evaluation of motion correction methods in human brain PET imaging—A simulation study based on human motion data
Jin X, Mulnix T, Gallezot J, Carson RE. Evaluation of motion correction methods in human brain PET imaging—A simulation study based on human motion data. Medical Physics 2013, 40: 102503. PMID: 24089924, PMCID: PMC3785538, DOI: 10.1118/1.4819820.Peer-Reviewed Original ResearchConceptsAccurate motion dataMotion correction methodEvent motion correctionIntraframe motionCorrection methodMotion dataMotion correctionROI intensitiesHead motion dataImage reconstructionKinetic modelHuman motion dataSystem resolutionHead motionMotionSimulation studyFrame-based methodsPotential figuresKinetic parametersAccuracyMC methodAttenuation mapImage registrationHigh-contrast regionsImage intensity