2019
EMnet: an unrolled deep neural network for PET image reconstruction
Gong K, Wu D, Kim K, Yang J, Fakhri G, Seo Y, Li Q. EMnet: an unrolled deep neural network for PET image reconstruction. Progress In Biomedical Optics And Imaging 2019, 10948: 1094853-1094853-6. DOI: 10.1117/12.2513096.Peer-Reviewed Original ResearchDeep neural networksPET image reconstructionNeural networkExpectation maximizationImage reconstructionImage denoising applicationNeural network frameworkNeural network denoisersDenoising applicationsDenoising methodNetwork denoisingNetwork trainingNetwork frameworkWhole graphUpdate stepData consistencyIll-posedNetworkInverse problemEMNETDenoisingSimulated dataFrameworkAlgorithmGraph
2015
Fast Estimation of Image Variance for Time-of-flight PET Reconstruction
Wang M, Hu G, Fakhri G, Zhang H, Li Q. Fast Estimation of Image Variance for Time-of-flight PET Reconstruction. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582040.Peer-Reviewed Original ResearchImage varianceMaximum likelihood expectation maximizationTOF-PETAhstract-The useLikelihood expectation maximizationFast algorithmExpectation maximizationReduction of computation timeComputation timeImage qualityMonte Carlo simulationsUniform diskFast estimationAlgorithmAnalytical expressionsCarlo simulationsVariance predictionImagesPET imagingPositron emission tomographyPhantomMaximization
2014
Myocardial Defect Detection Using PET-CT: Phantom Studies
Mananga E, Fakhri G, Schaefferkoetter J, Bonab A, Ouyang J. Myocardial Defect Detection Using PET-CT: Phantom Studies. PLOS ONE 2014, 9: e88200. PMID: 24505429, PMCID: PMC3914931, DOI: 10.1371/journal.pone.0088200.Peer-Reviewed Original ResearchConceptsMyocardial defect detectionFiltered back projectionChannelized Hotelling observerPhantom studyActivity distributionSubset expectation maximizationDefect detectionCardiac PET studiesMyocardial defectsHotelling observerNoise levelBack-projectionPET-CTPhantomExpectation maximizationOP-OSEMReconstruction schemePET studiesOSEMDefectsNoise