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
2022
Adaptive 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
2021
Generation of parametric Ki images for FDG PET using two 5‐min scans
Wu J, Liu H, Ye Q, Gallezot J, Naganawa M, Miao T, Lu Y, Chen M, Esserman DA, Kyriakides TC, Carson RE, Liu C. Generation of parametric Ki images for FDG PET using two 5‐min scans. Medical Physics 2021, 48: 5219-5231. PMID: 34287939, DOI: 10.1002/mp.15113.Peer-Reviewed Original ResearchConceptsPopulation-based input functionDynamic FDG-PET scansFDG-PET scansFDG-PETSUV changesPET scansClinical practiceSolid lung nodulesClinical usefulnessLate scansBone marrowRegion of interestLung nodulesInput functionScansPatlak analysisKi imagesMin/T-testCorrelation coefficientTumorsSubjectsNodulesDynamic imagingPET
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
Assessment of a white matter reference region for 11C-UCB-J PET quantification
Rossano S, Toyonaga T, Finnema SJ, Naganawa M, Lu Y, Nabulsi N, Ropchan J, De Bruyn S, Otoul C, Stockis A, Nicolas JM, Martin P, Mercier J, Huang Y, Maguire RP, Carson RE. Assessment of a white matter reference region for 11C-UCB-J PET quantification. Cerebrovascular And Brain Metabolism Reviews 2019, 40: 1890-1901. PMID: 31570041, PMCID: PMC7446568, DOI: 10.1177/0271678x19879230.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
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose
Ye Q, Wu J, Lu Y, Naganawa M, Gallezot JD, Ma T, Liu Y, Tanoue L, Detterbeck F, Blasberg J, Chen MK, Casey M, Carson RE, Liu C. Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose. Physics In Medicine And Biology 2018, 63: 175015. PMID: 30095083, PMCID: PMC6158045, DOI: 10.1088/1361-6560/aad97f.Peer-Reviewed Original ResearchConceptsPopulation-based input functionStandardized uptake valueImage-derived input functionLung nodulesClinical trialsTime-activity curvesLow-dose computed tomography (LDCT) screeningLung cancer mortality ratesIndeterminate lung nodulesComputed Tomography ScreeningF-FDG PETCancer mortality ratesStatic PET acquisitionVirtual clinical trialsScan durationTomography screeningFDG injectionPET scansMortality rateUptake valueAccurate diagnosisMalignant lung nodulesROC analysisPatient dataMalignant nodules
2009
A new graphic plot analysis for determination of neuroreceptor binding in positron emission tomography studies
Ito H, Yokoi T, Ikoma Y, Shidahara M, Seki C, Naganawa M, Takahashi H, Takano H, Kimura Y, Ichise M, Suhara T. A new graphic plot analysis for determination of neuroreceptor binding in positron emission tomography studies. NeuroImage 2009, 49: 578-586. PMID: 19631754, DOI: 10.1016/j.neuroimage.2009.07.021.Peer-Reviewed Original ResearchImprovement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging
Shidahara M, Seki C, Naganawa M, Sakata M, Ishikawa M, Ito H, Kanno I, Ishiwata K, Kimura Y. Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging. Annals Of Nuclear Medicine 2009, 23: 163-171. PMID: 19225940, DOI: 10.1007/s12149-008-0226-0.Peer-Reviewed Original Research
2008
PET kinetic analysis: error consideration of quantitative analysis in dynamic studies
Ikoma Y, Watabe H, Shidahara M, Naganawa M, Kimura Y. PET kinetic analysis: error consideration of quantitative analysis in dynamic studies. Annals Of Nuclear Medicine 2008, 22: 1-11. PMID: 18250982, DOI: 10.1007/s12149-007-0083-2.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2007
Robust estimation of the arterial input function for Logan plots using an intersectional searching algorithm and clustering in positron emission tomography for neuroreceptor imaging
Naganawa M, Kimura Y, Yano J, Mishina M, Yanagisawa M, Ishii K, Oda K, Ishiwata K. Robust estimation of the arterial input function for Logan plots using an intersectional searching algorithm and clustering in positron emission tomography for neuroreceptor imaging. NeuroImage 2007, 40: 26-34. PMID: 18187345, DOI: 10.1016/j.neuroimage.2007.11.035.Peer-Reviewed Original ResearchWavelet denoising for voxel-based compartmental analysis of peripheral benzodiazepine receptors with 18F-FEDAA1106
Shidahara M, Ikoma Y, Seki C, Fujimura Y, Naganawa M, Ito H, Suhara T, Kanno I, Kimura Y. Wavelet denoising for voxel-based compartmental analysis of peripheral benzodiazepine receptors with 18F-FEDAA1106. European Journal Of Nuclear Medicine And Molecular Imaging 2007, 35: 416. PMID: 18026949, DOI: 10.1007/s00259-007-0623-y.Peer-Reviewed Original ResearchPET kinetic analysis: wavelet denoising of dynamic PET data with application to parametric imaging
Shidahara M, Ikoma Y, Kershaw J, Kimura Y, Naganawa M, Watabe H. PET kinetic analysis: wavelet denoising of dynamic PET data with application to parametric imaging. Annals Of Nuclear Medicine 2007, 21: 379. PMID: 17876550, DOI: 10.1007/s12149-007-0044-9.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsAlgorithmsAnimalsArtifactsBrain MappingCluster AnalysisComputer SimulationCoronary CirculationFourier AnalysisHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedKineticsNonlinear DynamicsNuclear MedicinePositron-Emission TomographyRadiopharmaceuticalsSoftwareTime FactorsPET kinetic analysis —Pitfalls and a solution for the Logan plot
Kimura Y, Naganawa M, Shidahara M, Ikoma Y, Watabe H. PET kinetic analysis —Pitfalls and a solution for the Logan plot. Annals Of Nuclear Medicine 2007, 21: 1-8. PMID: 17373330, DOI: 10.1007/bf03033993.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2005
MAP-based kinetic analysis for voxel-by-voxel compartment model estimation: Detailed imaging of the cerebral glucose metabolism using FDG
Kimura Y, Naganawa M, Yamaguchi J, Takabayashi Y, Uchiyama A, Oda K, Ishii K, Ishiwata K. MAP-based kinetic analysis for voxel-by-voxel compartment model estimation: Detailed imaging of the cerebral glucose metabolism using FDG. NeuroImage 2005, 29: 1203-1211. PMID: 16216532, DOI: 10.1016/j.neuroimage.2005.08.046.Peer-Reviewed Original ResearchAlgorithmsBlood GlucoseBrainBrain MappingComputer GraphicsComputer SimulationEnergy MetabolismFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedImaging, Three-DimensionalKineticsLeast-Squares AnalysisNonlinear DynamicsPhantoms, ImagingPositron-Emission TomographyReproducibility of ResultsOmission of serial arterial blood sampling in neuroreceptor imaging with independent component analysis
Naganawa M, Kimura Y, Nariai T, Ishii K, Oda K, Manabe Y, Chihara K, Ishiwata K. Omission of serial arterial blood sampling in neuroreceptor imaging with independent component analysis. NeuroImage 2005, 26: 885-890. PMID: 15955498, DOI: 10.1016/j.neuroimage.2005.02.025.Peer-Reviewed Original ResearchConceptsArterial blood samplingBlood samplingCerebral glucose metabolismAdenosine A1 receptorsTotal distribution volumeSerial arterial blood samplingLogan plotPET imagesPlasma time-activity curveA1 receptorsHealthy subjectsGlucose metabolismTime-activity curvesDistribution volumeBrain diseasesDVTReference regionSubjectsParametric imagesDynamic PET imagesExtraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis
Naganawa M, Kimura Y, Ishii K, Oda K, Ishiwata K, Matani A. Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis. IEEE Transactions On Biomedical Engineering 2005, 52: 201-210. PMID: 15709657, DOI: 10.1109/tbme.2004.840193.Peer-Reviewed Original ResearchConceptsBrain PET imagesIndependent component analysisVolume imagesDynamic PET imagesPET imagesDynamic positron emission tomography (PET) dataAppropriate preprocessingBlood volume imagesImagesComponent analysisObjective functionPositron emission tomography dataComputer simulationsBrain FDG-PET studiesTomography dataPlasma time-activity curvePreprocessingNew methodEmission tomography dataSerial arterial blood samplingModelInput functionExtraction