2021
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves
Pak D, Liu M, Kim T, Liang L, McKay R, Sun W, Duncan J. Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. Lecture Notes In Computer Science 2021, 12906: 485-494. DOI: 10.1007/978-3-030-87231-1_47.Peer-Reviewed Original ResearchFinite element analysisVolumetric meshFinite element methodMesh generation techniqueFinite element mesh generationWatertight surface meshesSurface meshElement analysisElement methodStress analysisMeshing techniqueClosure simulationHexahedral elementsGood spatial accuracyDeformation frameworkMesh generationElement qualityOffset operationAccurate generationDeep learningSpatial accuracyDistortion energyMeshModeling strategyGeneration technique
2007
Boundary element method-based regularization for recovering of LV deformation
Yan P, Sinusas A, Duncan JS. Boundary element method-based regularization for recovering of LV deformation. Medical Image Analysis 2007, 11: 540-554. PMID: 17584521, DOI: 10.1016/j.media.2007.04.007.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsComputer SimulationDogsElasticityFinite Element AnalysisHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, CardiovascularReproducibility of ResultsSensitivity and SpecificityStress, MechanicalVentricular Dysfunction, LeftConceptsBoundary element methodImage sequencesElement methodDisplacement fieldDense displacement fieldNew regularization modelDeformationRegularization modelCardiac magnetic resonance image sequencesMagnetic resonance image sequencesEchocardiographic image sequencesLattice densityFeature informationComputation timePhysical plausibilityImage dataDisplacementMatching strategy