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
Clinical impact of time-of-flight and point response modeling in PET reconstructions: a lesion detection study
Schaefferkoetter J, Casey M, Townsend D, Fakhri G. Clinical impact of time-of-flight and point response modeling in PET reconstructions: a lesion detection study. Physics In Medicine And Biology 2013, 58: 1465-1478. PMID: 23403399, PMCID: PMC3616316, DOI: 10.1088/0031-9155/58/5/1465.Peer-Reviewed Original ResearchMeSH KeywordsHumansImage Processing, Computer-AssistedModels, TheoreticalNeoplasmsObserver VariationPositron-Emission TomographyTime FactorsConceptsPoint spread functionTime-of-flightBenefit of TOFPET reconstructionNumerical modelOptimal reconstruction parametersLocalization receiver operating characteristicsLesion-detection studiesObserved SNRReconstruction schemeSpread functionReconstruction parametersPerformanceNumerical observationsPatient images