2019
PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior
Song T, Yang F, Chowdhury S, Kim K, Johnson K, Fakhri G, Li Q, Dutta J. PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Transactions On Computational Imaging 2019, 5: 530-539. PMID: 31723575, PMCID: PMC6853071, DOI: 10.1109/tci.2019.2913287.Peer-Reviewed Original ResearchContrast-to-noise ratioStructural similarity indexHoffman phantomImage deblurringDigital phantomPhantom studyPeak signal-to-noise ratioSuper-resolution frameworkQuantitative accuracySimilarity indexSignal-to-noise ratioSpatial resolutionPhantomImage quantitationSuper-resolutionTau imaging studiesImage qualityPET imagingDeblurringHigh-resolution MR imagingRoot mean square errorSimulation studyBrainWebPost-processingPenalty function
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