2019
Atlas-Based Multiorgan Segmentation for Dynamic Abdominal PET
Ren S, Laub P, Lu Y, Naganawa M, Carson R. Atlas-Based Multiorgan Segmentation for Dynamic Abdominal PET. IEEE Transactions On Radiation And Plasma Medical Sciences 2019, 4: 50-62. DOI: 10.1109/trpms.2019.2926889.Peer-Reviewed Original ResearchMultiorgan segmentationSegmentation methodDynamic image seriesDynamic imagesFrames of dataHyperparameter optimizationAutomatic frameworkSegmentation frameworkDynamic PET imagesSegmentation resultsGraph cutsFinal segmentationHyperparameter combinationsTemporal informationAtlas informationPET imagesTissue time-activity curvesManual segmentationSegmentationImage seriesGaussian distributionPrincipal component analysisBetter performanceImagesDifferent activity distributions
2007
Temporal and spatial blood information estimation using Bayesian ICA in dynamic cerebral positron emission tomography
Naganawa M, Kimura Y, Ishii K, Oda K, Ishiwata K. Temporal and spatial blood information estimation using Bayesian ICA in dynamic cerebral positron emission tomography. Digital Signal Processing 2007, 17: 979-993. DOI: 10.1016/j.dsp.2007.03.002.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsVolume imagesHuman brain PET studiesEnsemble learningSource imagesInformation estimationStandard independent component analysisBlood informationIndependent component analysisBlood volume imagesNonnegative constraintsCost functionImagesBrain PET studiesPET imagesGaussian distributionComponent analysisLearningTomographic imagesSchemePriorsCerebral positron emission tomographyInformationConstraintsMethod
2005
Omission 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