2020
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography
Ta K, Ahn SS, Stendahl JC, Sinusas AJ, Duncan JS. A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. Lecture Notes In Computer Science 2020, 12266: 468-477. PMID: 33094292, PMCID: PMC7576886, DOI: 10.1007/978-3-030-59725-2_45.Peer-Reviewed Original Research
2019
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis
Parajuli N, Lu A, Ta K, Stendahl J, Boutagy N, Alkhalil I, Eberle M, Jeng GS, Zontak M, O'Donnell M, Sinusas AJ, Duncan JS. Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Medical Image Analysis 2019, 55: 116-135. PMID: 31055125, PMCID: PMC6939679, DOI: 10.1016/j.media.2019.04.007.Peer-Reviewed Original ResearchConceptsDeformation/strainExcellent tracking accuracyEntire cardiac cycleTracking accuracyCardiac motion analysisAccurate estimationSurface pointsEchocardiographic image sequencesLV motionDisplacementMotion analysisImage sequencesCardiac cyclePoint matchingMotionConsecutive framesEstimationNetwork trackingImportant characteristicsSignificant promiseSchemeGood correlationFlow
2012
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation
DeLorenzo C, Papademetris X, Staib LH, Vives KP, Spencer DD, Duncan JS. Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. IEEE Transactions On Medical Imaging 2012, 31: 1607-1619. PMID: 22562728, PMCID: PMC3600363, DOI: 10.1109/tmi.2012.2197407.Peer-Reviewed Original ResearchConceptsLinear elastic modelSurface displacementsElastic modelBrain deformationVolumetric brain deformationMaterial parametersMaterial propertiesRealistic brain phantomDeformationBiomechanical modelIntraoperative brainModel accuracyLocalization errorPhantom validationAccurate surgical guidanceModel solutionsModel developmentInitial estimationDisplacementModel sensitivityQuantitative validationPhantom resultsPreoperative imagesSurgical guidancePreliminary application
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 strategyA Comprehensive System for Intraoperative 3D Brain Deformation Recovery
DeLorenzo C, Papademetris X, Vives KP, Spencer DD, Duncan JS. A Comprehensive System for Intraoperative 3D Brain Deformation Recovery. Lecture Notes In Computer Science 2007, 10: 553-561. PMID: 18044612, PMCID: PMC2864112, DOI: 10.1007/978-3-540-75759-7_67.Peer-Reviewed Original ResearchConceptsBrain deformationLinear elastic modelVolumetric brain deformationDeformation recoverySurface trackingSurface displacementsElastic modelRealistic brain phantomDeformationBiomechanical modelLarge brain deformationsIntraoperative brainFeature detectionSemiautomatic strategyBrain phantomPreoperative imagesDisplacement
2005
A Boundary Element-Based Approach to Analysis of LV Deformation
Yan P, Lin N, Sinusas AJ, Duncan JS. A Boundary Element-Based Approach to Analysis of LV Deformation. Lecture Notes In Computer Science 2005, 8: 778-785. PMID: 16685917, DOI: 10.1007/11566465_96.Peer-Reviewed Original Research