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 methodDose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks
Li A, Yang B, Naganawa M, Fontaine K, Toyonaga T, Carson R, Tang J. Dose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks. Physics In Medicine And Biology 2023, 68: 245006. PMID: 37857316, PMCID: PMC10739622, DOI: 10.1088/1361-6560/ad0535.Peer-Reviewed Original Research
2022
An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution
Sun C, Revilla EM, Zhang J, Fontaine K, Toyonaga T, Gallezot JD, Mulnix T, Onofrey JA, Carson RE, Lu Y. An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution. NeuroImage 2022, 264: 119678. PMID: 36261057, DOI: 10.1016/j.neuroimage.2022.119678.Peer-Reviewed Original ResearchConceptsMotion informationHardware-based methodsHead motion estimationPET image reconstructionMotion estimation methodData-driven methodPET raw dataHead motionMask segmentationFinal image qualityMotion estimationTracking hardwareDifferent motion estimation methodsBrain PET studiesGround truthImage reconstructionRaw dataNew algorithmObjective quality controlInaccurate motion informationImage qualityMotion correction algorithmAlgorithmMotion errorsCorrection algorithmAdaptive data-driven motion detection and optimized correction for brain PET
Revilla EM, Gallezot JD, Naganawa M, Toyonaga T, Fontaine K, Mulnix T, Onofrey JA, Carson RE, Lu Y. Adaptive data-driven motion detection and optimized correction for brain PET. NeuroImage 2022, 252: 119031. PMID: 35257856, PMCID: PMC9206767, DOI: 10.1016/j.neuroimage.2022.119031.Peer-Reviewed Original ResearchConceptsDetection algorithmMotion correction methodMotion tracking informationExternal motion tracking devicesMotion detection algorithmMotion tracking methodImage registration algorithmHead motionReal human datasetsData-driven methodUser-defined parametersImage quality degradationMotion tracking deviceMultiple usersDynamic datasetsTracking informationManual interventionRegistration algorithmMotion detectionTracking methodComparable performanceAlgorithmQuality degradationHuman datasetsTracking device
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
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