2024
Data-driven non-rigid motion detection and correction for NeuroEXPLORER
Zhang J, Sun C, Volpi T, Zeng T, Fontaine K, Du Y, Toyonaga T, Onofrey J, Lu Y, Carson R. Data-driven non-rigid motion detection and correction for NeuroEXPLORER. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658289.Peer-Reviewed Original ResearchNon-rigid motionNon-rigid motion estimationMotion dataNon-rigid regionsHead motion dataTracking capabilityMotion estimationMotion detectionRigid transformationImage-derived input functionMotion tracking systemImage blurringCarotid arteryEffective MCMotion patternsPatient movementTracking systemMotion correction frameworkBrain PET systemRigid motionMotion-corrected reconstructionFacial surfaceRigid motion correctionCorrect reconstructionCorrection framework
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