2024
Development of a deep learning model for the automated detection of green pixels indicative of gout on dual energy CT scan
Faghani S, Nicholas R, Patel S, Baffour F, Moassefi M, Rouzrokh P, Khosravi B, Powell G, Leng S, Glazebrook K, Erickson B, Tiegs-Heiden C. Development of a deep learning model for the automated detection of green pixels indicative of gout on dual energy CT scan. Research In Diagnostic And Interventional Imaging 2024, 9: 100044. PMID: 39076582, PMCID: PMC11265492, DOI: 10.1016/j.redii.2024.100044.Peer-Reviewed Original ResearchDice similarity coefficientDual-energy CTDeep learningDual-energy CT datasetsCurrent image processing methodsDual-energy CT imagingOptimal deep learningAverage Dice similarity coefficientAutomated detectionComputer-aided diagnosis toolDeep learning modelsDual-energy CT scansBackground pixelsSuperior performance metricsHeld-out testMaterial decompositionSegmentation metricsDL modelsPerformance metricsTraining setLearning modelsSegmentation approachPixelPresence of monosodium urate (MSUSuperior performance
2020
Reducing Radiation Dose and Contrast Medium Volume With Application of Dual-Energy CT in Children and Young Adults.
Tabari A, Gee M, Singh R, Lim R, Nimkin K, Primak A, Schmidt B, Kalra M. Reducing Radiation Dose and Contrast Medium Volume With Application of Dual-Energy CT in Children and Young Adults. American Journal Of Roentgenology 2020, 214: 1199-1205. PMID: 32286868, DOI: 10.2214/ajr.19.22231.Peer-Reviewed Original ResearchConceptsSingle-energy CTContrast material volumeDS-DECTDual-energy CTRadiation doseThird-generation dual-source CT scannerDual-source dual-energy CTDual-source CT scannerContrast volume reductionCT dose descriptorsMean patient ageApplications of dual-energy CTContrast medium volumeWeight-matched patientsYoung adultsReduce radiation doseLow radiation doseCohen's kappa testConsecutive childrenPatient ageRadiological findingsDose descriptorsPatient demographicsRetrospective studyKappa test
2016
Dual-Energy CT Reconstruction Using Guided Image Filtering
Yang H, Kim K, Fakhri G, Kang K, Xing Y, Li Q. Dual-Energy CT Reconstruction Using Guided Image Filtering. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069594.Peer-Reviewed Original ResearchGuided image filterDual-energy CT reconstructionImage filteringX-ray spectraEdge-preserving smoothingImage filtering algorithmReduce beam hardening artifactsCT reconstruction methodCT reconstructionReconstruction methodBeam hardening artifactsImage reconstruction methodImage processing algorithmsLow energyOrdered subsets algorithmDual-energy CTGuided image filtering algorithmConvergence speedProcessing algorithmsDual-energy computed tomographyAttenuation measurementsEarly iterationsFiltering algorithmDual-energyAlgorithmNumerical observer for atherosclerotic plaque classification in spectral computed tomography
Lorsakul A, Fakhri G, Worstell W, Ouyang J, Rakvongthai Y, Laine A, Li Q. Numerical observer for atherosclerotic plaque classification in spectral computed tomography. Journal Of Medical Imaging 2016, 3: 035501-035501. PMID: 27429999, PMCID: PMC4940624, DOI: 10.1117/1.jmi.3.3.035501.Peer-Reviewed Original ResearchSignal-to-noise ratioChannelized Hotelling observerMatched filterSignal-to-noise ratio improvementDual-energy CTMultienergy CTSpectral computed tomographyBinary classification taskHotelling observerNumerical observationsArea under the receiver operating characteristic curveObjective image assessmentAcquisition methodImage atherosclerotic plaquesMaterial characterizationComputed tomographyClassification taskPerformance metricsAnthropomorphic digital phantomIdentification applicationsSpectral CT dataConventional CT systemsCalcified plaqueSignal variationsAnalytical computation
2012
Microvascular Pulmonary Tumor Embolism Detected by Perfusion Images of Dual-Energy Computed Tomography
Ok T, Cho M, Jang S, Park H, Park H, Park J, Yoon S, Lee H, Baek C, Kim G, Kim D, Hong Y, Seo J, Oh Y. Microvascular Pulmonary Tumor Embolism Detected by Perfusion Images of Dual-Energy Computed Tomography. Tuberculosis And Respiratory Diseases 2012, 72: 63-67. DOI: 10.4046/trd.2012.72.1.63.Peer-Reviewed Original Research
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