2000
Physical model-based non-rigid registration incorporating statistical shape information
Wang Y, Staib L. Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Analysis 2000, 4: 7-20. PMID: 10972317, DOI: 10.1016/s1361-8415(00)00004-9.Peer-Reviewed Original ResearchConceptsStatistical shape informationStatistical shape modelDeformable elastic solidsComplex anatomical detailsIntensity similarity measureShape modelBayesian formulationBoundary shape informationViscous fluidCorresponding boundary pointsElastic solidsBoundary pointsDense setPhysical modelRobust approachSparse setReal medical imagesNumber of experimentsFirst methodShape informationSimilarity measureSetPhysical propertiesModelSmoothness
1998
Elastic model based non-rigid registration incorporating statistical shape information
Wang Y, Staib L. Elastic model based non-rigid registration incorporating statistical shape information. Lecture Notes In Computer Science 1998, 1496: 1162-1173. DOI: 10.1007/bfb0056306.Peer-Reviewed Original ResearchStatistical shape informationStatistical shape modelComplex anatomical detailsIntensity similarity measureShape modelElastic modelBayesian formulationBoundary shape informationCorresponding boundary pointsBoundary pointsDense setPhysical modelSparse setReal medical imagesNumber of experimentsShape informationRobust non-rigid registrationNew methodSimilarity measureModelSet
1996
Parameterized Feasible Boundaries in Gradient Vector Fields
Worring M, Smeulders A, Staib L, Duncan J. Parameterized Feasible Boundaries in Gradient Vector Fields. Computer Vision And Image Understanding 1996, 63: 135-144. DOI: 10.1006/cviu.1996.0009.Peer-Reviewed Original ResearchImage informationModel-based segmentation procedureObject boundariesSegmentation of imagesDirectional gradient informationLocal image informationObjective functionReal medical imagesObject of interestObject boundary extractionMedical imagesImage dataSmoothness objectiveConflicting objectsBoundary extractionComplex imagesGradient informationArtificial dataSegmentation procedureFeasible boundaryGradient magnitudeSegmentationPhysical feasibilityImagesObjectsDeformable boundary finding in medical images by integrating gradient and region information
Chakraborty A, Staib L, Duncan J. Deformable boundary finding in medical images by integrating gradient and region information. IEEE Transactions On Medical Imaging 1996, 15: 859-870. PMID: 18215965, DOI: 10.1109/42.544503.Peer-Reviewed Original ResearchBoundary findingMedical imagesHomogeneous region-classified areaBiomedical image analysisGray level homogeneityRegion-based segmentationReal medical imagesComputational overheadImage segmentationRegion informationShape informationPoor initializationPerceptual notionsImage analysisNumber of experimentsSegmentationVariety of limitationsGreen's theoremImagesUnified approachAuthors' approachKey issuesNew approachOverheadInformation
1994
An integrated approach to boundary finding in medical images
Chakraborty A, Staib L, Duncan J. An integrated approach to boundary finding in medical images. 1994, 13-22. DOI: 10.1109/bia.1994.315870.Peer-Reviewed Original ResearchBoundary findingMedical imagesHomogeneous region-classified areaBiomedical image analysisGray level homogeneityReal medical imagesImage segmentationShape informationPoor initializationPerceptual notionsImage analysisNumber of experimentsSegmentationVariety of limitationsConventional gradientImagesUnified approachAuthors' approachKey issuesNew approachGreen's theoremConventional methodsIntegrated approachInitializationFinder
1993
Parameterized feasible boundaries in gradient vector fields
Worring M, Smeulders A, Staib L, Duncan J. Parameterized feasible boundaries in gradient vector fields. Lecture Notes In Computer Science 1993, 687: 48-61. DOI: 10.1007/bfb0013780.Peer-Reviewed Original ResearchObject boundariesMedical imagesModel-based segmentation procedureComplex medical imagesSegmentation of imagesDirectional gradient informationLocal image informationReal medical imagesObject of interestImage informationImage dataSmoothness objectiveConflicting objectsNew objective functionProblem of extractionGradient informationArtificial dataSegmentation procedureFeasible boundarySegmentationPhysical feasibilityImagesObjective functionObjectsGradient vector field