2023
Imaging Performance of the Fully Assembled Ultra-High Resolution (UHR) Brain PET scanner
Loignon-Houle F, Toussaint M, Beaudoin J, Gaudreault M, Doyon V, Leroux J, Auger E, Thibaudeau C, Arpin L, Croteau E, Espinosa-Bentancourt E, Samson A, Bouchard J, Espagnet R, Viscogliosi N, Pepin C, Labrecque V, Paulin C, Marin T, Ouyang J, Normandin M, Tétrault M, Michaud J, Fontaine R, Fakhri G, Lecomte R. Imaging Performance of the Fully Assembled Ultra-High Resolution (UHR) Brain PET scanner. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338146.Peer-Reviewed Original ResearchBrain PET scannerUltra-high resolutionPET scannerPeak noise-equivalent count rateUltra Micro Hot Spot PhantomNoise-equivalent count rateAxial field-of-viewHot spot phantomHoffman brain phantomSmall-scale structuresCount rateBrain phantomContrast recoveryReadout schemeField of viewBrain PET imagingPhantomExcellent image qualityImaging performanceSpatial resolutionSmall structuresUltrahigh resolutionImage qualityPET imagingLarger rods
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
2001
Optimization of Ga-67 Imaging for Detection and Estimation Tasks: Dependence of Imaging Performance on Choice of Energy Windows
Fakhri G, Moore S, Kijewski M. Optimization of Ga-67 Imaging for Detection and Estimation Tasks: Dependence of Imaging Performance on Choice of Energy Windows. 2001, 3: 1355-1357. DOI: 10.1109/nssmic.2001.1008588.Peer-Reviewed Original ResearchEnergy windowSignal-to-noise ratioMonte Carlo programDetection of spheresIdeal signal-to-noise ratioTorso phantomEstimation taskDetection signal-to-noise ratioPhantom acquisitionsSphere of radiusPhantom dataLower-energyPhotopeakImaging performancePhantomGa-67Detection metricsGa-67 imagingSphere sizeOptimal window widthWindow widthEnergyTaskQuantitative tasksOptimal window