2024
Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision
Xie H, Guo L, Velo A, Liu Z, Liu Q, Guo X, Zhou B, Chen X, Tsai Y, Miao T, Xia M, Liu Y, Armstrong I, Wang G, Carson R, Sinusas A, Liu C. Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision. Medical Image Analysis 2024, 100: 103391. PMID: 39579623, DOI: 10.1016/j.media.2024.103391.Peer-Reviewed Original ResearchImage denoisingPositron range correctionDynamic framesSelf-supervised methodsSuperior visual qualityLow signal-to-noise ratioCardiac PET imagingDenoising methodSignal-to-noise ratioSelf-supervisionVisual qualityHigh-energy positronsRange correctionsDenoisingNoise levelImage spatial resolutionImage qualityDefect contrastPET imagingImage quantificationRadioactive isotopesPatient scansQuantitative accuracyImagesFrameLarge human cohort study of markerless head motion tracking for brain PET
Zeng T, Zhang J, Gallezot J, Fontaine K, Gravel P, Jiang W, Mulnix T, Yang Z, Zhang X, Hu L, Carson R. Large human cohort study of markerless head motion tracking for brain PET. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10656091.Peer-Reviewed Original ResearchPost-reconstruction registrationEvent-by-eventBrain PET imagingMotion correction techniqueQuantitative PET imagingPET imagingBrain PETHead motionTime activity curvesStudy of brain functionImage qualityMotion tracking systemGray matter regionsCorrection techniqueMotionHuman cohort studiesAverage SUVPET measurementsMotion blurMatter regionsSuperior performanceTracking systemPolarisMotion correction quality control of markerless head motion tracking for ultrahigh performance brain PET
Zeng T, Zhang J, Volpi T, Gallezot J, Fontaine K, Khattar N, Jiang W, Yang Z, Wan Q, Wang S, Li T, Zhang X, Hu L, Carson R. Motion correction quality control of markerless head motion tracking for ultrahigh performance brain PET. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658040.Peer-Reviewed Original ResearchBrain PET studiesMotion correctionMotion-free imagesImpact of motionPET systemCombined metricImage qualityResolution degradationBrain PETGating methodPET dataFacial expression experimentsSpatial resolutionDetect facial expressionsNon-rigid movementEnhanced image qualityHuman scansGateMotion blurPET studiesMotion tracking systemPlanned motionTracking failureMotionNeuroimaging studies
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
2010
Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging
Jin X, Sandiego C, Mulnix T, Carson R. Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging. 2010, 2915-2920. DOI: 10.1109/nssmic.2010.5874329.Peer-Reviewed Original ResearchList-mode dataMultiple acquisition framesRaw list-mode dataAttenuation correctionMotion correctionMotion correction methodTransmission imagesAnesthetized studySmall animal studiesImage qualityAcquisition frameComparable image qualityRapid motionTime precisionCorrection methodMR templateCorrectionPET brain imagingStandard time frameThresholdQuantitative image qualityAwake non-human primatesOrientationQuantitative resultsMotion