Low‐dose CT reconstruction using spatially encoded nonlocal penalty
Kim K, Fakhri G, Li Q. Low‐dose CT reconstruction using spatially encoded nonlocal penalty. Medical Physics 2017, 44: e376-e390. PMID: 29027240, PMCID: PMC5927365, DOI: 10.1002/mp.12523.Peer-Reviewed Original ResearchConceptsLow Dose CT Grand ChallengeDose imagesDose dataFlying focal spotQuadratic surrogatesLow-dose CT reconstructionCT reconstruction methodImage qualityRadiation doseCT phantomFBP imagesRaw projectionsRebinning methodFocal spotLog-likelihoodReconstructed test imagesEfficient memory usageNesterov's momentum methodPoisson log-likelihoodGrand ChallengeComputed tomographyLow radiation doseCT reconstructionAccurate diagnostic featuresTest imagesIterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
Wu D, Kim K, Fakhri G, Li Q. Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network. IEEE Transactions On Medical Imaging 2017, 36: 2479-2486. PMID: 28922116, PMCID: PMC5897914, DOI: 10.1109/tmi.2017.2753138.Peer-Reviewed Original ResearchConceptsArtificial neural networkIterative reconstruction algorithmNeural networkLow-dose CT reconstructionReconstruction algorithmUnsupervised feature learningReconstructed imagesFeatures of imagesImprove reconstruction qualityNormal-dose imagesDecreasing radiation riskDevelopment of artificial neural networksFeature learningComplex featuresAuto-encoderReconstruction qualityData fidelityMachine learningSuppress noiseSmoothness constraintPhoton fluxPreservation abilityGrand ChallengeNoise reductionPriors