2023
Super-resolution in brain positron emission tomography using a real-time motion capture system
Chemli Y, Tétrault M, Marin T, Normandin M, Bloch I, El Fakhri G, Ouyang J, Petibon Y. Super-resolution in brain positron emission tomography using a real-time motion capture system. NeuroImage 2023, 272: 120056. PMID: 36977452, PMCID: PMC10122782, DOI: 10.1016/j.neuroimage.2023.120056.Peer-Reviewed Original ResearchConceptsBrain positron emission tomographySuper-resolutionEvent-by-event basisReal-time motion capture systemSR reconstruction methodTracking cameraVisualization of small structuresPET reconstruction algorithmMoving phantomMeasure target motionLine profilesPET/CT scannerMeasured shiftsImprove image resolutionMotion capture systemMotion tracking devicePositron emission tomographyReconstruction algorithmSpatial resolutionMeasured linesPhantomReal-timeEstimation frameworkIncreased spatial resolutionReconstruction method
2019
Time of flight PET reconstruction using nonuniform update for regional recovery uniformity
Kim K, Kim D, Yang J, Fakhri G, Seo Y, Fessler J, Li Q. Time of flight PET reconstruction using nonuniform update for regional recovery uniformity. Medical Physics 2019, 46: 649-664. PMID: 30508255, PMCID: PMC6501218, DOI: 10.1002/mp.13321.Peer-Reviewed Original ResearchConceptsSignal-to-noise ratio regionVariant step sizeSignal-to-noise ratioNesterov momentumOS-SQSUniform recoveryOS-EMStep sizeNon-TOF PETOrdered subsetsQuad-core CPUEarly stopping criterionGraphics processing unitsTime-of-flight PET reconstructionReconstruction methodPET reconstruction methodsNesterov's momentum methodImage qualityPET reconstructionTOF-PETOverall signal-to-noise ratioActive regionLow activity regionsComputer simulationsRecovery ratio
2017
Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization
Rakvongthai Y, Fahey F, Borvorntanajanya K, Tepmongkol S, Vutrapongwatana U, Zukotynski K, Fakhri G, Ouyang J. Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization. Medical Physics 2017, 44: 1437-1444. PMID: 28211105, PMCID: PMC5462456, DOI: 10.1002/mp.12167.Peer-Reviewed Original ResearchConceptsSPECT reconstruction methodDifferential imagingLow-noise datasetConventional subtraction methodLesion contrastSPECT projection dataEpileptic focus localizationHoffman phantomPatient studiesReconstruction methodJoint methodSPECT projectionsHead phantomPhantom locationsSubtraction methodPhantom studyNuclear medicine physiciansAttenuation backgroundPhantomConventional subtraction approachFocus localizationConventional subtractionReceiver operating characteristicLow noiseProjection dataDirect parametric reconstruction in dynamic PET myocardial perfusion imaging: in vivo studies
Petibon Y, Rakvongthai Y, Fakhri G, Ouyang J. Direct parametric reconstruction in dynamic PET myocardial perfusion imaging: in vivo studies. Physics In Medicine And Biology 2017, 62: 3539-3565. PMID: 28379843, PMCID: PMC5739089, DOI: 10.1088/1361-6560/aa6394.Peer-Reviewed Original ResearchConceptsPET sinogramsSignal-to-noise ratioList-mode PET dataSiemens Biograph mMR scannerList-mode dataMyocardial perfusion imagingNoise realizationsPET myocardial perfusion imagingLow count levelsLeast-squares fitBiograph mMR scannerPET projection dataOriginal list-mode dataMyocardial blood flowCount levelsParametric reconstructionOSEMReconstruction methodIndependent noise realizationsNormal count levelsSinogramDirect reconstructionDynamic sinogramsKinetic modelPoor signal-to-noise ratioMonte Carlo simulation of PET/MR scanner and assessment of motion correction strategies
şın A, Ozsahin D, Dutta J, Haddani S, El-Fakhri G. Monte Carlo simulation of PET/MR scanner and assessment of motion correction strategies. Journal Of Instrumentation 2017, 12: c03089-c03089. DOI: 10.1088/1748-0221/12/03/c03089.Peer-Reviewed Original ResearchMotion correction strategiesGATE simulationsMonte Carlo simulationsImage qualityPET/MR scannersPositron emission tomographyPET acquisitionImage reconstruction methodMotion compensation methodEmission tomographyImaging modalitiesAcquisition timeExtraction algorithmReference imageRespiratory movementsTumor detectionGateReconstruction methodPatient movement
2016
Dual-Energy CT Reconstruction Using Guided Image Filtering
Yang H, Kim K, Fakhri G, Kang K, Xing Y, Li Q. Dual-Energy CT Reconstruction Using Guided Image Filtering. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069594.Peer-Reviewed Original ResearchGuided image filterDual-energy CT reconstructionImage filteringX-ray spectraEdge-preserving smoothingImage filtering algorithmReduce beam hardening artifactsCT reconstruction methodCT reconstructionReconstruction methodBeam hardening artifactsImage reconstruction methodImage processing algorithmsLow energyOrdered subsets algorithmDual-energy CTGuided image filtering algorithmConvergence speedProcessing algorithmsDual-energy computed tomographyAttenuation measurementsEarly iterationsFiltering algorithmDual-energyAlgorithm
2006
Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes
Wollenweber S, Fakhri G, Moore S. Quantitative Analysis of PET Reconstruction Techniques over a Wide Activity Range with 2D and 3D Acquisition Modes. 2006, 4: 2233-2235. DOI: 10.1109/nssmic.2006.354358.Peer-Reviewed Original ResearchPositron emission tomographicField of viewFiltered backprojectionEstimation of activity concentrationImaging field of viewQuantitative imaging performanceIterative reconstruction methodValues of activity concentrationsActivity concentrationsPET-CT systemFBP imagesScan modeReconstruction methodROI valuesImaging performanceAnalytical reconstructionEmission tomographicRegions-of-interestROI activityPET-CTPhantomOSEMF-18BackprojectionTissue background