2024
MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER
Fontaine K, Gallezot J, Zhang J, He L, Gravel P, Zeng T, Li T, Li Y, Leung E, Sun X, Guo L, Mulnix T, Toyonaga T, Lu Y, Li H, Badawi R, Qi J, Carson R. MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655187.Peer-Reviewed Original ResearchReconstruction processDepth of interactionReconstruction frameworkAdvanced frameworkFramework's effectivenessMask featuresNovel featuresContrast recoveryScatter correction methodReconstruction softwareFrameworkListmode dataDownsamplingMotion correctionPhantom studyListmode filesFeaturesCorrection methodSoftwareFilesNeuroExplorerReconstructionComparative analysis of two parametric imaging programs for NeuroEXPLORER studies
Zhang J, Gallezot J, Ye Q, Lu Y, Carson R. Comparative analysis of two parametric imaging programs for NeuroEXPLORER studies. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10655797.Peer-Reviewed Original ResearchMotion correction quality control of markerless head motion tracking for ultrahigh performance brain PET
Zeng T, Zhang J, Volpi T, Gallezot J, Fontaine K, Khattar N, Jiang W, Yang Z, Wan Q, Wang S, Li T, Zhang X, Hu L, Carson R. Motion correction quality control of markerless head motion tracking for ultrahigh performance brain PET. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658040.Peer-Reviewed Original ResearchBrain PET studiesMotion correctionMotion-free imagesImpact of motionPET systemCombined metricImage qualityResolution degradationBrain PETGating methodPET dataFacial expression experimentsSpatial resolutionDetect facial expressionsNon-rigid movementEnhanced image qualityHuman scansGateMotion blurPET studiesMotion tracking systemPlanned motionTracking failureMotionNeuroimaging studiesAdaptive Deep Image Prior Enhances Ultra-Low Dose PET Imaging with NeuroEXPLORER
Li A, Gravel P, Gallezot J, Toyonaga T, Fontaine K, Carson R, Tang J. Adaptive Deep Image Prior Enhances Ultra-Low Dose PET Imaging with NeuroEXPLORER. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657691.Peer-Reviewed Original ResearchContrast recovery coefficientCounting imagingLearning-based denoising methodsHead motion correctionDeep Image PriorLow-dose imagesOptimal stopping iterationsDose imagesAttenuation mapBrain phantomDeep imagingFull-count dataImage priorsMotion correctionSignal-to-noise ratioDenoising methodSequence of outputsTraining dataPET imagingStopping iterationDecreased signal-to-noise ratioNoise ratioPost-processing techniquesReconstructed imagesRecovery coefficientImage-Derived Input Functions on an Ultra-High Performance Brain PET Scanner: Minimizing the Carotid Partial Volume Effect
Volpi T, Zeng T, Khattar N, Toyonaga T, Martins S, Mulnix T, Fontaine K, Gallezot J, Carson R. Image-Derived Input Functions on an Ultra-High Performance Brain PET Scanner: Minimizing the Carotid Partial Volume Effect. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10658264.Peer-Reviewed Original Research
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 ResearchConceptsData-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
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 intensityList-mode reconstruction for the FOCUS-220 with motion correction and spatially-variant probability density functions: Application to awake monkey imaging
Jin X, Jian Y, Mulnix T, Sandiego C, Yao R, Carson R. List-mode reconstruction for the FOCUS-220 with motion correction and spatially-variant probability density functions: Application to awake monkey imaging. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2985-2990. DOI: 10.1109/nssmic.2012.6551682.Peer-Reviewed Original ResearchEvent motion correctionIntra-frame motionMotion correctionMotion correction methodRadial offsetLarge motionEntire FOVFrame methodSpatial resolutionRadial resolutionProbability density functionCorrection methodTangential resolutionPoint sourcesMotionResolution kernelsHigh-quality imagesReconstruction algorithmList-mode reconstruction algorithmDensity functionList-mode reconstructionFOVDynamic assessment of head motion compensation for the HRRT
Jin X, Mulnix T, Gallezot J, Carson R. Dynamic assessment of head motion compensation for the HRRT. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2867-2872. DOI: 10.1109/nssmic.2012.6551654.Peer-Reviewed Original ResearchMotion-free referenceEvent motion correctionMotion correction methodIntra-frame motionMotion compensationActual motion dataMotion correctionHead motion compensationCorrection methodHuman head motionFrame-based methodsSubject motionWide rangeSystem resolutionMotionMotion dataGood accuracyPrevious simulation studiesImage reconstructionSimulation studyDynamics studyCompensationHead motionRangeMethod
2010
Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging
Jin X, Sandiego C, Mulnix T, Carson R. Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging. 2010, 2915-2920. DOI: 10.1109/nssmic.2010.5874329.Peer-Reviewed Original ResearchList-mode dataMultiple acquisition framesRaw list-mode dataAttenuation correctionMotion correctionMotion correction methodTransmission imagesAnesthetized studySmall animal studiesImage qualityAcquisition frameComparable image qualityRapid motionTime precisionCorrection methodMR templateCorrectionPET brain imagingStandard time frameThresholdQuantitative image qualityAwake non-human primatesOrientationQuantitative resultsMotion
2009
Accuracy of Head Motion Compensation for the HRRT: Comparison of Methods
Jin X, Mulnix T, Planeta-Wilson B, Gallezot JD, Carson RE. Accuracy of Head Motion Compensation for the HRRT: Comparison of Methods. 2011 IEEE Nuclear Science Symposium Conference Record 2009, 2009: 3199-3202. PMID: 20607125, PMCID: PMC2895273, DOI: 10.1109/nssmic.2009.5401706.Peer-Reviewed Original ResearchMotion compensation methodMotion compensationCompensation methodMotion correctionROI intensitiesAccurate motion dataHead motion compensationMotion dataMedium motionOffset errorLarge motionFrame-based methodsFrame motionHuman motion dataReasonable motionSystem resolutionImage registrationMotionCentroid location