2011
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
Cappabianco F, Ide J, Falcão A, Li C. AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING. 2011, 2653-2656. DOI: 10.1109/icip.2011.6116212.Peer-Reviewed Original ResearchOptimum-Path Forest ClusteringAutomatic MR image segmentationMR image segmentationLocal image propertiesSegmentation accuracyOptimum connectivityFeature spaceGlobal informationTissue segmentationImage propertiesMR imagesPopular techniqueProbabilistic atlasExtant methodsSegmentationImportant issueImagesProbability valuesWhite matter voxelsAlgorithmVoxelsClusteringNew methodAccuracyConnectivity
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