2018
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Gong K, Guan J, Kim K, Zhang X, Yang J, Seo Y, Fakhri G, Qi J, Li Q. Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Transactions On Medical Imaging 2018, 38: 675-685. PMID: 30222554, PMCID: PMC6472985, DOI: 10.1109/tmi.2018.2869871.Peer-Reviewed Original ResearchConceptsPET image reconstructionNeural networkConvolutional neural network representationsDeep residual convolutional neural networkImage reconstructionResidual convolutional neural networkComputer vision tasksDeep neural networksConvolutional neural networkNeural network denoisersAlternating direction methodNeural network representationIterative reconstruction frameworkNeural network methodVision tasksImage representationNetwork denoisingReconstruction frameworkMultipliers algorithmMedical imagesOptimization problemNetwork methodPost-processing toolDirection methodNetwork representationA novel depth-of-interaction rebinning strategy for ultrahigh resolution PET
Kim K, Dutta J, Groll A, Fakhri G, Meng L, Li Q. A novel depth-of-interaction rebinning strategy for ultrahigh resolution PET. Physics In Medicine And Biology 2018, 63: 165011. PMID: 30040073, PMCID: PMC6375090, DOI: 10.1088/1361-6560/aad58c.Peer-Reviewed Original ResearchConceptsDepth of interactionReconstructed imagesAlternating direction methodReconstructed image qualityPoisson log-likelihoodImage qualitySub-sampling methodPositron emission tomography systemReduce noise effectsDOI layersReconstruction frameworkDetector pixel sizePoint source experimentsQuadratic surrogatesCdZnTe detectorsAnimal positron emission tomographyLog-likelihoodDirection methodSmall animal positron emission tomographySource ExperimentPhoton countingRebinning methodSystem matrixNoise effectsSinogram
2016
Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data
Kim K, Fakhri G, Li Q. Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069385.Peer-Reviewed Original ResearchPenalized MLAA with Spatially-Encoded Anatomic Prior in TOF PET/MR
Kim K, Yang J, Fakhri G, Seo Y, Li Q. Penalized MLAA with Spatially-Encoded Anatomic Prior in TOF PET/MR. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069514.Peer-Reviewed Original ResearchSynthetic CT imagesAlternating direction methodAttenuation correctionImage qualityMR-based attenuation correctionTOF-PET dataPET emission dataPET image qualityTime-of-flight (TOFDirection methodCost functionCT imagesPET/MR scannersNoise componentsConsistency conditionsAnatomical MRIterative processComputer simulationsPET dataMLAAPET/MR scansImagesBone signalEmission dataTOF
2015
Penalized Direct Estimation of Parametric Images in PET
Kim K, Fakhri G, Li Q. Penalized Direct Estimation of Parametric Images in PET. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582182.Peer-Reviewed Original ResearchAlternating direction methodDirection methodHigh noise varianceIterative reconstruction processKinetic parameter imagesTV regularizationNoise varianceDirect reconstructionPhysiological kinetic parametersDirection estimationReconstruction processNeighboring voxelsCost functionRidge regressionRaw measurementsConventional direct methodComputer simulationsDynamic imagingSplitting methodKinetic parametersImagesBrain phantomAccurate parametric imagesPoisson likelihoodPotential images