2016
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images
Liang L, Kong F, Martin C, Pham T, Wang Q, Duncan J, Sun W. Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images. International Journal For Numerical Methods In Biomedical Engineering 2016, 33 PMID: 27557429, PMCID: PMC5325825, DOI: 10.1002/cnm.2827.Peer-Reviewed Original ResearchConceptsHuman expertsGeometry reconstructionHuman errorMean discrepancyPreoperative planning systemComputational modeling processReconstructed geometryFinite element model generationModel generationPatient-specific computational modelingCardiac imagesComputational modeling methodsFast feedbackComputational modeling frameworkModeling processMesh correspondencePlanning systemModeling methodMachineModeling frameworkAortic valveImagesDisease diagnosisLarge patient cohortIndividual patient needs
2008
Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas A, Duncan J. Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model. 2008, 1-8. DOI: 10.1109/cvprw.2008.4563007.Peer-Reviewed Original ResearchSubject-specific dynamical modelBoundary element methodMotion tracking algorithmElement methodDisplacement fieldRecursive Bayesian frameworkCardiac MR imagesDynamical modelCardiac segmentationSegmentation moduleFuture framesSegmentation resultsIntegrated SegmentationSubject vectorsFeature pointsTracking algorithmMyocardial displacementTracking resultsMatching strategySegmentationCardiac imagesCardiac sequenceMotion analysisEfficient wayRegularization model
2007
CARDIAC MR IMAGE SEGMENTATION WITH INCOMPRESSIBILITY CONSTRAINT
Zhu Y, Papademetris X, Duncan J, Sinusas A. CARDIAC MR IMAGE SEGMENTATION WITH INCOMPRESSIBILITY CONSTRAINT. 2007, 185-188. DOI: 10.1109/isbi.2007.356819.Peer-Reviewed Original Research
1992
Energy-minimizing deformable grids for tracking tagged MR cardiac images
Amini A, Shi P, Constable R, Johnson K, Duncan J, Gore J. Energy-minimizing deformable grids for tracking tagged MR cardiac images. 1992, 651-654. DOI: 10.1109/cic.1992.269374.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
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