2014
Semi-supervised Learning of Nonrigid Deformations for Image Registration
Onofrey J, Staib L, Papademetris X. Semi-supervised Learning of Nonrigid Deformations for Image Registration. Lecture Notes In Computer Science 2014, 8331: 13-23. DOI: 10.1007/978-3-319-05530-5_2.Peer-Reviewed Original ResearchLarge medical image databasesSemi-supervised learning frameworkMedical image databasesStatistical deformation modelSemi-supervised learningIntensity-based registrationImage databaseLeave-one-out cross validationLearning frameworkSupervised registrationsMR datasetsImage registrationRegistration algorithmUnsupervised registrationsBrain imagesNonrigid transformationNonrigid deformationResearch communityBrain Atlas databaseVast quantitiesCross validationMR brainRegistrationLarge amountDatabase
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
2006
BioImage Suite: An integrated medical image analysis suite: An update.
Papademetris X, Jackowski MP, Rajeevan N, DiStasio M, Okuda H, Constable RT, Staib LH. BioImage Suite: An integrated medical image analysis suite: An update. Insight Journal 2006, 2006: 209. PMID: 25364771, PMCID: PMC4213804, DOI: 10.54294/2g80r4.Peer-Reviewed Original ResearchVisualization ToolkitInsight ToolkitUser-friendly user interfaceTcl scripting languageArea of segmentationAnalysis software suiteScripting languageUser interfaceImage processingBioImage SuiteSoftware suiteAdditional algorithmsAnalysis suiteBeta versionImage analysisToolkitSuiteSegmentationDownloadAlgorithmLanguageYaleRegistrationProcessingUpdate
2004
Geometric strategies for neuroanatomic analysis from MRI
Duncan JS, Papademetris X, Yang J, Jackowski M, Zeng X, Staib LH. Geometric strategies for neuroanatomic analysis from MRI. NeuroImage 2004, 23: s34-s45. PMID: 15501099, PMCID: PMC2832750, DOI: 10.1016/j.neuroimage.2004.07.027.Peer-Reviewed Original ResearchConceptsApplied mathematical approachWhite matter fiber tracksStatistical estimationMathematical approachFunction-structure analysisMagnetic resonance imagesEvolution strategyGeometric constraintsImage processingIntersubject registrationRich setGeometric strategyOngoing workData setsUse of levelsCommon spaceNeuroanatomic analysisSetRegistrationFiber tracksHuman brainResonance imagesInformationSegmentationEstimation
2003
Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis
Papademetris X, Jackowski A, Schultz R, Staib L, Duncan J. Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. Lecture Notes In Computer Science 2003, 2879: 788-795. DOI: 10.1007/978-3-540-39903-2_96.Peer-Reviewed Original ResearchRobust Point MatchingIntensity-based registrationLarge point setsPoint matchingGreater computational efficiencyComputational efficiencyRobust pointSuperior performancePoint setsMagnetic resonance imagesBrain registrationActivation mapsFunctional magnetic resonance imagesSuccessful applicationRegistrationResonance imagesAlgorithmMatchingSpecificationMethodologyImagesRobustnessFrameworkSpecific areasSet
1998
A novel approach for the registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy
Bansal R, Staib L, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan J. A novel approach for the registration of 2D portal and 3D CT images for treatment setup verification in radiotherapy. Lecture Notes In Computer Science 1998, 1496: 1075-1086. DOI: 10.1007/bfb0056297.Peer-Reviewed Original ResearchRegistration parametersMulti-modality image registrationResolution imagesPortal imagesLow-resolution imagesMutual information metricHigh-resolution imagesImage registrationCT data setsSetup verificationLow contrastInformation metricData setsDifficult problemLow resolutionNovel approachImagesAlgorithmCT dataRegistrationCT imagesVerificationEntropy algorithmSegmentionMetrics