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
2015
PET Point Spread Function Modeling and Image Deblurring Using a PET/MRI Joint Entropy Prior
Dutta J, Fakhri G, Zhu X, Li Q. PET Point Spread Function Modeling and Image Deblurring Using a PET/MRI Joint Entropy Prior. 2015, 1423-1426. DOI: 10.1109/isbi.2015.7164143.Peer-Reviewed Original ResearchJoint entropyDe-blurring techniqueImage deblurringBrain WebQuantitative accuracy of PETImage spaceEfficient frameworkDeconvolution problemDeblurringCost functionPoint spread function modelPenalty functionHuman datasetsSpatial resolution capabilitiesPET scannerAmplifier noisePET imagingImagesConsistent with MRIQuantitative accuracyPartial volume effectsPhantomDatasetEntropyFunction model