2024
Anatomically and Metabolically Informed Deep Learning Low-Count PET Image Denoising
Xia M, Xie H, Liu Q, Guo L, Ouyang J, Bayerlein R, Spencer B, Badawi R, Li Q, Fakhri G, Liu C. Anatomically and Metabolically Informed Deep Learning Low-Count PET Image Denoising. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10657099.Peer-Reviewed Original ResearchDeep learningOver-smoothed imagesDL training processesHigh-count imagesImage denoisingDenoised imageLow-count dataSemantic informationSemantic classesSegmentation guidanceTraining processPET/CT systemHistogram distributionImage qualitySegmentation toolPositron emission tomographyImagesDenoisingDatasetHistogramPriorsRadiation exposure
2020
Joint Direct Parametric Reconstruction for Pet Receptor Occupancy Mapping
Marin T, Ouyang J, Fakhri G, Normandin M, Petibon Y. Joint Direct Parametric Reconstruction for Pet Receptor Occupancy Mapping. 2020, 00: 1-4. DOI: 10.1109/nss/mic42677.2020.9507742.Peer-Reviewed Original ResearchCentral nervous systemPositron emission tomographyVariable splitting techniqueReceptor occupancyBayesian reconstruction frameworkDenoising problemDose-occupancy relationshipReconstruction frameworkCentral nervous system drugsDevelopment of central nervous systemEstimation of receptor occupancyOptimization problemDrug brain penetrationLow precisionMeasure occupancyDrug AdministrationBrain penetrationRadiation exposureSplitting techniqueEmission tomographyDynamic dataTracer bindingNervous systemConventional approachesTarget engagement