2016
Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation
Prabhu D, Mehanna E, Gargesha M, Brandt E, Wen D, van Ditzhuijzen N, Chamie D, Yamamoto H, Fujino Y, Alian A, Patel J, Costa M, Bezerra H, Wilson D. Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Journal Of Medical Imaging 2016, 3: 026004-026004. PMID: 27429997, PMCID: PMC4923671, DOI: 10.1117/1.jmi.3.2.026004.Peer-Reviewed Original ResearchCryo-image volumesRegistration errorRegistration methodAutomated plaque characterizationThree-dimensional registrationRegistration accuracyIVOCT image framesHigh-contrastOptical coherence tomographyPerpendicular imagesIntravascular optical coherence tomographySynthetic phantomsCoherence tomographyHigh-resolutionRegistration modelReference framePhantomImage acquisitionThree-dimensionalIntravascular imaging modalitiesImaging modalitiesCatheter parametersRegistrationFrame intervalImage frames
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
2013
Applying a [11C]Raclopride Template to Automated Binding Potential Estimation in HRRT Brain PET
Novosad P, Bieth M, Gravel P, Lombaert H, Siddiqi K, Reader A. Applying a [11C]Raclopride Template to Automated Binding Potential Estimation in HRRT Brain PET. 2013, 1-8. DOI: 10.1109/nssmic.2013.6829396.Peer-Reviewed Original Research
2011
WHOLE BODY NONRIGID CT-PET REGISTRATION USING WEIGHTED DEMONS
Suh JW, Kwon O, Scheinost D, Sinusas AJ, Cline GW, Papademetris X. WHOLE BODY NONRIGID CT-PET REGISTRATION USING WEIGHTED DEMONS. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2011, 1: 1223-1226. PMID: 23377533, PMCID: PMC3557845, DOI: 10.1109/isbi.2011.5872622.Peer-Reviewed Original ResearchEmission PET imagesDistance similarity measureDeformable registration processNew registration methodSeparate scannersSimilarity measureImage setsPositron emission tomography (PET) imagesImage characteristicsRegistration methodNonrigid changesRegistration processTomography imagesDemons algorithmImagesImproved performanceEmission tomography imagesPET imagesRegistrationAlgorithm
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 systemNon-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images
Chitphakdithai N, Duncan JS. Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images. Lecture Notes In Computer Science 2010, 13: 367-374. PMID: 20879252, PMCID: PMC3031159, DOI: 10.1007/978-3-642-15705-9_45.Peer-Reviewed Original ResearchConceptsTypes of datasetsNon-rigid registration methodImage alignmentNon-rigid registrationMissing correspondencesSegmentation algorithmNon-rigid registration algorithmSimilarity metricCorrespondence problemValid correspondencesRegistration algorithmRegistration methodExpectation-maximization algorithmBrain imagesJoint registrationReal dataAlgorithmImagesRegistrationError kernel
2008
Robust Brain Registration Using Adaptive Probabilistic Atlas
Ide J, Chen R, Shen D, Herskovits E. Robust Brain Registration Using Adaptive Probabilistic Atlas. Lecture Notes In Computer Science 2008, 11: 1041-1049. PMID: 18982707, PMCID: PMC2743000, DOI: 10.1007/978-3-540-85990-1_125.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBrainComputer SimulationData Interpretation, StatisticalImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingModels, NeurologicalModels, StatisticalPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsAccurate image registration algorithmBrain imagesProbabilistic atlasNew frameworkImage registration algorithmMR brain imagesCommon template spaceGeneralized expectation maximizationLow tissue contrastElastic image registrationSegmentation qualityReal MR brain imagesSegmentation stepInitial segmentationImage registrationAlgorithm robustnessSegmentationUnified segmentationRegistration accuracySpatial informationExpectation maximizationIterative approachBrain registrationSubject's anatomyRegistration
2006
Nonrigid 3D Brain Registration Using Intensity/Feature Information
DeLorenzo C, Papademetris X, Wu K, Vives KP, Spencer D, Duncan JS. Nonrigid 3D Brain Registration Using Intensity/Feature Information. Lecture Notes In Computer Science 2006, 9: 932-939. PMID: 17354980, PMCID: PMC2864121, DOI: 10.1007/11866565_114.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBayes TheoremBrainEpilepsyHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSurgery, Computer-AssistedConceptsStereo camera imagesCamera calibration errorsPreoperative brain imagesSurface tracking algorithmFeature informationCamera imagesTracking algorithmBrain imagesOptimization termSurface detectionRobust modelImagesBrain registrationIntraoperative brainCalibration errorsAlgorithmAccuracyRegistrationModelInformationBioImage 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 algorithmSegmentionMetricsIntegrated approaches to non-rigid registration in medical images
Wang Y, Staib L. Integrated approaches to non-rigid registration in medical images. 1998, 102-108. DOI: 10.1109/acv.1998.732865.Peer-Reviewed Original ResearchIntensity similarity measureNon-rigid registrationSimilarity measureMedical imagesShape informationStatistical shape modelReal medical imagesShape modelStatistical shape informationBoundary shape informationComplex anatomical detailsTraining setBayesian formulationDeformable elastic solidsBoundary pointsAtlas-based methodRobust approachDense setInformationRegistrationImagesPhysical modelElastic solidsImproved physical modelViscous fluid
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