Kathryn Fontaine
Research Development Technician Imaging Research CenterCards
About
Research
Publications
2024
Fluoride transport in Arabidopsis thaliana plants is impaired in Fluoride EXporter (FEX) mutants
Tausta S, Fontaine K, Hillmer A, Strobel S. Fluoride transport in Arabidopsis thaliana plants is impaired in Fluoride EXporter (FEX) mutants. Plant Molecular Biology 2024, 114: 17. PMID: 38342783, PMCID: PMC10859346, DOI: 10.1007/s11103-023-01413-w.Peer-Reviewed Original ResearchConceptsFluoride exportMutant plantsWT plantsArabidopsis thaliana plantsSingle cell eukaryotesMulticellular plantsThaliana plantsCell eukaryotesFluoride toleranceTerminal tissuesMutantsFluoride transportPlantsFloral stemsWildtypeArabidopsisEukaryotesEnvironmental toxinsStemBacteriaPositron emission tomographyPrimary locusToxin
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 methodDose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks
Li A, Yang B, Naganawa M, Fontaine K, Toyonaga T, Carson R, Tang J. Dose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks. Physics In Medicine And Biology 2023, 68: 245006. PMID: 37857316, PMCID: PMC10739622, DOI: 10.1088/1361-6560/ad0535.Peer-Reviewed Original ResearchPerformance Evaluation of a Next-generation Human Brain PET Imager: the NeuroEXPLORER
Sun X, Badawi R, Cherry S, Fontaine K, He L, Hu L, Lu Y, Jones T, Leung E, Li T, Li Y, Liu P, Lu Z, Xu T, Majewski S, Mulnix T, Samanta S, Selfridge A, Toyonaga T, Qi J, Carson R, Li H. Performance Evaluation of a Next-generation Human Brain PET Imager: the NeuroEXPLORER. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338348.Peer-Reviewed Original ResearchSpatial resolutionRadial offsetMotion correction capabilityAxial spatial resolutionFine spatial resolutionPeak noise equivalent count rateKcps/MBqRate errorHot rodsRecovery coefficientTOF resolutionPeak NEC ratePerformance evaluationTangential spatial resolutionsHot spheresNoise equivalent count rateNEMA IQ phantomIQ phantomImagerOffsetHigh sensitivityNEMA NU 2PhantomCount rateEnergy resolutionDevelopment and initial evaluation of 3D-printed ultra-high resolution brain phantoms
Toyonaga T, Shanina E, Lo C, Gravel P, Gallezot J, Lucero S, Martins S, Mulnix T, Fontaine K, Xu T, Leung E, Sun X, Li T, Qi J, Cherry S, Li H, Carson R. Development and initial evaluation of 3D-printed ultra-high resolution brain phantoms. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338821.Peer-Reviewed Original ResearchValidation and application of markerless head motion tracking for a next-generation brain PET scanner
Zeng T, Wang S, Fontaine K, Jiang W, Zhang J, Mulnix T, Gravel P, Volpi T, Gallezot J, Yang Z, Zhang X, Sun X, Hu L, Li H, Carson R. Validation and application of markerless head motion tracking for a next-generation brain PET scanner. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338275.Peer-Reviewed Original ResearchMulti-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction
Lieffrig E, Zeng T, Zhang J, Fontaine K, Fang X, Revilla E, Lu Y, Onofrey J. Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2023, 00: 1-5. PMID: 38111738, PMCID: PMC10725741, DOI: 10.1109/isbi53787.2023.10230791.Peer-Reviewed Original ResearchMulti-task deep learningMulti-task architectureMonte Carlo dropoutTesting subjectsDeep learningMotion tracking deviceSupervised learningMotion correction methodNetwork predictionHead motion correctionAppearance predictionReconstructed imagesPrediction performanceImage acquisitionImage qualityTracking deviceMotion correctionLearning processUncertainty estimationTomography image acquisitionHead motionPrediction uncertaintyLearningQualitative resultsArchitecture
2022
Event-by-Event 3D Continuous Motion Correction Based on a Data-Driven Motion Estimation Algorithm for 82Rb Myocardial Perfusion Imaging
Tsai Y, Fontaine K, Mulnix T, Armstrong I, Hayden C, Spottiswoode B, Casey M, Liu C. Event-by-Event 3D Continuous Motion Correction Based on a Data-Driven Motion Estimation Algorithm for 82Rb Myocardial Perfusion Imaging. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399100.Peer-Reviewed Original ResearchMotion correctionData-driven motion estimationPET/CT scannerSuperior-inferior motionMotion effectsSilicon photomultipliersNEMA phantomReconstruction frameworkPET acquisitionReconstructed image qualityCardiac PETMotion estimation algorithmPatient datasetsImage qualityMyocardial perfusion imagingCorrectionMotion monitoringTemporal resolutionSiPMMotionPhotomultiplierMotion estimationMotion vectorsPhantomCorrection algorithmAn objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution
Sun C, Revilla EM, Zhang J, Fontaine K, Toyonaga T, Gallezot JD, Mulnix T, Onofrey JA, Carson RE, Lu Y. An objective evaluation method for head motion estimation in PET—Motion corrected centroid-of-distribution. NeuroImage 2022, 264: 119678. PMID: 36261057, DOI: 10.1016/j.neuroimage.2022.119678.Peer-Reviewed Original ResearchConceptsMotion informationHardware-based methodsHead motion estimationPET image reconstructionMotion estimation methodData-driven methodPET raw dataHead motionMask segmentationFinal image qualityMotion estimationTracking hardwareDifferent motion estimation methodsBrain PET studiesGround truthImage reconstructionRaw dataNew algorithmObjective quality controlInaccurate motion informationImage qualityMotion correction algorithmAlgorithmMotion errorsCorrection algorithmAdaptive 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