2018
Super-Resolution PET Using A Very Deep Convolutional Neural Network
Song T, Chowdhury S, Kim K, Gong K, Fakhri G, Li Q, Dutta J. Super-Resolution PET Using A Very Deep Convolutional Neural Network. 2018, 00: 1-2. DOI: 10.1109/nssmic.2018.8824683.Peer-Reviewed Original ResearchConvolutional neural networkNeural networkSuper-resolution convolutional neural networkDeep convolutional neural networkImage deblurring approachesInput image patchesBlur kernelResolution recovery techniquesSpatial location informationDeblurring approachDeblurring processImage patchesQuantitative accuracy of PETLocation informationSpatially-varying natureSuperior performanceNetworkRecovery techniquesDigital phantomDeblurringBrainWebInformationPartial volume effectsDeepBlur
1991
An accelerated 3D maximum likelihood SPECT image reconstruction
Rajeevan N, Penney B, Byrne C. An accelerated 3D maximum likelihood SPECT image reconstruction. 1991, 1963-1968 vol.3. DOI: 10.1109/nssmic.1991.259260.Peer-Reviewed Original ResearchVector extrapolation techniquesMLE algorithmImage reconstructionProjector-backprojector pairSPECT image reconstructionIterative algorithmAlgorithmComputation timeScheme resultsMaximum likelihood estimationAcceleration schemeSPECT systemExtrapolation techniquePatient dataBlurComputerTwo-DimensionalScheme
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