2021
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchMeSH KeywordsDeep LearningHumansObserver VariationRadiotherapy Planning, Computer-AssistedReproducibility of ResultsSarcomaSoft Tissue NeoplasmsConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-ray
2013
Determination of elemental tissue composition following proton treatment using positron emission tomography
Cho J, Ibbott G, Gillin M, Gonzalez-Lepera C, Min C, Zhu X, Fakhri G, Paganetti H, Mawlawi O. Determination of elemental tissue composition following proton treatment using positron emission tomography. Physics In Medicine And Biology 2013, 58: 3815-3835. PMID: 23681070, PMCID: PMC3763743, DOI: 10.1088/0031-9155/58/11/3815.Peer-Reviewed Original ResearchMeSH KeywordsFeasibility StudiesHumansMonte Carlo MethodPhantoms, ImagingPositron-Emission TomographyProton TherapyRadiotherapy Planning, Computer-AssistedConceptsIn-room PET scannerProton treatmentSOBP beamPET scannerMonte Carlo simulationsTissue elemental compositionComposite decay curvePristine Bragg peakProton treatment planningIn-roomElemental tissue compositionCarlo simulationsDecay curvesRange verificationMonoenergetic beamsBeam rangeProton dosePhantom sectionsEmitted positronsPositron emission tomographyProton therapyBragg peakPhantom compositionDelivered dosePositron emission tomography imaging
2008
Improved activity estimation with MC‐JOSEM versus TEW‐JOSEM in SPECT
Ouyang J, Fakhri G, Moore S. Improved activity estimation with MC‐JOSEM versus TEW‐JOSEM in SPECT. Medical Physics 2008, 35: 2029-2040. PMID: 18561679, PMCID: PMC2673642, DOI: 10.1118/1.2907561.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsEquipment DesignImage Processing, Computer-AssistedIndium RadioisotopesLungModels, StatisticalMonte Carlo MethodPhantoms, ImagingRadiotherapy Planning, Computer-AssistedReproducibility of ResultsScattering, RadiationSoftwareTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedConceptsMC-JOSEMWater-filled torso phantomMC scatter estimationTriple-energy-windowActivity estimationIterative reconstruction algorithmTorso phantomPhantom studyBackground compartmentScatter estimationActivity distributionAverage relative biasPhantomReconstruction algorithmActivity concentrationsSynthetic projectionsSphere locationScattering