2009
A dynamical shape prior for LV segmentation from RT3D echocardiography.
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. A dynamical shape prior for LV segmentation from RT3D echocardiography. 2009, 12: 206-13. PMID: 20425989, PMCID: PMC7814293.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceComputer SimulationComputer SystemsEchocardiography, Three-DimensionalHeart VentriclesHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalModels, AnatomicPattern Recognition, AutomatedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsSubject-specific dynamical modelCurrent frameMotion patternsRecursive Bayesian frameworkSegmentation taskPast framesAutomatic segmentationPrevious frameSegmentation processLV segmentationManual segmentationSegmentationIntensity informationCardiac sequenceEchocardiographic sequencesStatic modelPrior knowledgeTemporal coherenceCardiac motionCardiac modelsBayesian frameworkGeneric dynamical modelEchocardiographic imagesFrameInter-subject variability
2008
Segmentation of Left Ventricle from 3D Cardiac MR Image Sequences Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas A, Duncan JS. Segmentation of Left Ventricle from 3D Cardiac MR Image Sequences Using a Subject-Specific Dynamical Model. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2008, 2008: 1-8. PMID: 20052308, PMCID: PMC2801445, DOI: 10.1109/cvpr.2008.4587433.Peer-Reviewed Original ResearchSubject-specific dynamical modelGeneric dynamical modelDynamical modelSpecific dynamical modelRecursive Bayesian frameworkStatic modelBayesian frameworkStatistical modelCardiac sequenceCardiac MR image sequencesModel-based segmentationSpecific motion patternsCardiac shapeMR image sequencesImage sequencesMotion patternsModelOne-outLocal consistencyCurrent frameExperimental resultsSegmentation resultsDynamicsPast framesInter-subject variability