About
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PET Engineer
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Tim Mulnix's published research.
Publications Timeline
A big-picture view of Tim Mulnix's research output by year.
Kathryn Fontaine
Jean-Dominique Gallezot, PhD
Richard Carson, PhD
Takuya Toyonaga, MD, PhD
David Matuskey, MD
Adam Mecca, MD, PhD
6Publications
Publications
2024
Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager
Li H, Badawi R, Cherry S, Fontaine K, He L, Henry S, Hillmer A, Hu L, Khattar N, Leung E, Li T, Li Y, Liu C, Liu P, Lu Z, Majewski S, Matuskey D, Morris E, Mulnix T, Omidvari N, Samanta S, Selfridge A, Sun X, Toyonaga T, Volpi T, Zeng T, Jones T, Qi J, Carson R. Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager. Journal Of Nuclear Medicine 2024, jnumed.124.267767. PMID: 38871391, DOI: 10.2967/jnumed.124.267767.Peer-Reviewed Original ResearchAltmetricConceptsPeak noise-equivalent count rateNoise-equivalent count rateTime-of-flight resolutionField of viewCount rateExtended axial field-of-viewTransverse field-of-viewAxial field-of-viewField-of-view centerMini-Derenzo phantomSpatial resolutionTangential spatial resolutionsCount rate performanceContrast recovery coefficientHuman brain PET imagingMeasurements of spatial resolutionNEMA sensitivityEnergy resolutionScatter fractionBrain phantomBackprojection reconstructionBrain PET imagingTime resolutionRadial offsetF-FDG imagingRelationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study
Cayir S, Volpi T, Toyonaga T, Gallezot J, Yang Y, Sadabad F, Mulnix T, Mecca A, Fesharaki‐Zadeh A, Matuskey D. Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study. Journal Of Neuroimaging 2024 PMID: 38676301, DOI: 10.1111/jon.13206.Peer-Reviewed Original ResearchAltmetricConceptsMoCA scoresFDG-PETAssociation of cognitionStandardized uptake value ratioMontreal Cognitive AssessmentSignificant positive associationFrontotemporal dementiaPrimary outcome measurePosterior cingulate cortexDecline of cognitive functionYears of ageGM volumeFrontal cortexOutcome measuresCognitive dysfunctionGray matterCognitive AssessmentMoCAAssociated with cognitive dysfunctionFluorodeoxyglucose (FDG)-PETPositive associationMagnetic resonance imagingPartial volume correctionCognitive functionDementia
2023
Performance 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 ResearchConceptsSpatial 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 Research
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 ResearchConceptsMotion 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 algorithm
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