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