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 ResearchImage-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 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 coefficient
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
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 Research
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 intensityDynamic 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
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