2012
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory
Lu C, Zheng Y, Birkbeck N, Zhang J, Kohlberger T, Tietjen C, Boettger T, Duncan JS, Zhou SK. Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. Lecture Notes In Computer Science 2012, 15: 462-469. PMID: 23286081, DOI: 10.1007/978-3-642-33418-4_57.Peer-Reviewed Original ResearchConceptsMarginal Space LearningCT volumesChallenging segmentation problemInformation-theoretic schemesLearning-based approachComputer-aided diagnosisExcellent segmentation accuracyRobust boundary detectionInformation theoryPelvic organ segmentationSteerable featuresChallenging datasetArt solutionsOrgan segmentationSegmentation problemSpace learningSegmentation performanceSegmentation accuracyPrecise segmentationBoundary detectionJensen-Shannon divergenceTheoretic schemeInference processDiverse sourcesPrevious state
2011
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy
Lu C, Chelikani S, Papademetris X, Knisely JP, Milosevic MF, Chen Z, Jaffray DA, Staib LH, Duncan JS. An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. Medical Image Analysis 2011, 15: 772-785. PMID: 21646038, PMCID: PMC3164526, DOI: 10.1016/j.media.2011.05.010.Peer-Reviewed Original ResearchAlgorithmsBayes TheoremFemaleHumansImaging, Three-DimensionalMaleProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSystems IntegrationTomography, X-Ray ComputedUterine Cervical Neoplasms
2010
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy
Lu C, Chelikani S, Chen Z, Papademetris X, Staib LH, Duncan JS. Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. Lecture Notes In Computer Science 2010, 13: 53-60. PMID: 20879214, DOI: 10.1007/978-3-642-15705-9_7.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsHumansImaging, Three-DimensionalMaleProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSystems IntegrationTomography, X-Ray ComputedConceptsManual segmentationAutomatic segmentationImportant treatment parametersNonrigid registrationImage-guided radiotherapy systemReal patient dataNon-rigid registrationIntegrated SegmentationRegistration partRadiotherapy linear acceleratorSegmentationTreatment imagesImage qualityCone-beam CTTreatment parametersImagesPromising resultsPatient dataKey anatomical structuresLinear acceleratorRegistrationPrevious workRadiotherapy system
2009
2D‐3D registration for prostate radiation therapy based on a statistical model of transmission images
Munbodh R, Tagare HD, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. 2D‐3D registration for prostate radiation therapy based on a statistical model of transmission images. Medical Physics 2009, 36: 4555-4568. PMID: 19928087, DOI: 10.1118/1.3213531.Peer-Reviewed Original ResearchAlgorithmsData Interpretation, StatisticalHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalMalePattern Recognition, AutomatedPhantoms, ImagingProstatic NeoplasmsRadiographic Image EnhancementRadiotherapy, ConformalReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConstrained non-rigid registration for use in image-guided adaptive radiotherapy
Greene WH, Chelikani S, Purushothaman K, Knisely JP, Chen Z, Papademetris X, Staib LH, Duncan JS. Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Analysis 2009, 13: 809-817. PMID: 19682945, PMCID: PMC2771756, DOI: 10.1016/j.media.2009.07.004.Peer-Reviewed Original ResearchAlgorithmsArtificial IntelligenceHumansMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedRadiotherapy, ConformalReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray Computed
2008
Automated 2D–3D registration of portal images and CT data using line‐segment enhancement
Munbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. Automated 2D–3D registration of portal images and CT data using line‐segment enhancement. Medical Physics 2008, 35: 4352-4361. PMID: 18975681, PMCID: PMC3910153, DOI: 10.1118/1.2975143.Peer-Reviewed Original ResearchAlgorithmsArtificial IntelligenceHumansImaging, Three-DimensionalMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray Computed
2006
Automated 2D‐3D registration of a radiograph and a cone beam CT using line‐segment enhancementa)
Munbodh R, Jaffray DA, Moseley DJ, Chen Z, Knisely JP, Cathier P, Duncan JS. Automated 2D‐3D registration of a radiograph and a cone beam CT using line‐segment enhancementa). Medical Physics 2006, 33: 1398-1411. PMID: 16752576, PMCID: PMC2796183, DOI: 10.1118/1.2192621.Peer-Reviewed Original Research
2003
Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel Correlation
Bansal R, Staib LH, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan JS. Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel Correlation. IEEE Transactions On Medical Imaging 2003, 22: 29. PMID: 12703758, DOI: 10.1109/tmi.2002.806430.Peer-Reviewed Original ResearchConceptsRegistration frameworkImage dataMutual information-based registration algorithmRegistration parametersPortal imagesUltrasound image dataReal patient dataTomography image dataImage pixelsPixel correlationRegistration algorithmPatient setup verificationSegmentationPixel intensityMarkov random processInitial versionTransformation parametersAppropriate entropyImagesAlgorithmPatient dataFrameworkCT imagesLine processSetup verification