2013
Contour tracking in echocardiographic sequences via sparse representation and dictionary learning
Huang X, Dione DP, Compas CB, Papademetris X, Lin BA, Bregasi A, Sinusas AJ, Staib LH, Duncan JS. Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. Medical Image Analysis 2013, 18: 253-271. PMID: 24292554, PMCID: PMC3946038, DOI: 10.1016/j.media.2013.10.012.Peer-Reviewed Original ResearchConceptsContour trackerSparse representationEchocardiographic sequencesRegion-based level set segmentationLevel set segmentationLocal image appearanceManual tracingExpert manual tracingsMultiscale sparse representationImage sequencesSegmentation resultsAppearance modelSpatiotemporal priorsFirst frameMultilevel informationHuman data setsEjection fraction estimatesLocal appearanceImage appearanceDictionary learningShape modelContour trackingManual resultsData setsContour estimation
1991
Shape-based tracking of left ventricular wall motion
Duncan J, Owen R, Anandan P, Staib L, McCauley T, Salazar A, Lee F. Shape-based tracking of left ventricular wall motion. 1991, 41-44. DOI: 10.1109/cic.1990.144160.Peer-Reviewed Original ResearchFlow fieldComposite flow fieldsLeft ventricular endocardial wallShape-based trackingSmooth flow fieldOptimization functionalsShape-based strategyNext contourCardiac image sequencesNonuniform motionLocal minimaEntire cardiac cycleMotion computationSmoothness termPairs of framesMotionComputationAccurate estimatesImage sequencesTrackingEndocardial wallWall motionMatch dataPrevious techniquesPoint basisMeasurement of non-rigid motion using contour shape descriptors
Duncan J, Owen R, Staib L, Anandan P. Measurement of non-rigid motion using contour shape descriptors. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1991, 318-324. DOI: 10.1109/cvpr.1991.139709.Peer-Reviewed Original Research
1989
Left ventricular analysis from cardiac images using deformable models
Staib L, Duncan J. Left ventricular analysis from cardiac images using deformable models. 1989, 427-430. DOI: 10.1109/cic.1988.72651.Peer-Reviewed Original ResearchDeformable modelImage understanding systemElliptic Fourier decompositionProbabilistic deformable modelCardiac image sequencesIntelligent segmentationSegmentation problemImage dataImage sequencesUnderstanding systemCardiac imagesOptimization problemFlexible constraintsLeft ventricular analysisIrregularity of shapeNatural objectsSegmentationQuantitative evaluationGood matchParametric modelVentricular analysisImagesSystemObjectsModel