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
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