2022
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography
Ahn S, Ta K, Thorn S, Onofrey J, Melvinsdottir I, Lee S, Langdon J, Sinusas A, Duncan J. Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. Medical Image Analysis 2022, 84: 102711. PMID: 36525845, PMCID: PMC9812938, DOI: 10.1016/j.media.2022.102711.Peer-Reviewed Original ResearchConceptsSpatial transformer networkMotion trackingNoisy displacement fieldReliable motion estimationMotion tracking methodCardiac strain analysisTransformer networkDisplacement fieldDisplacement pathsMotion fieldTracking methodMotion estimationExperimental resultsStrain analysisSuperior performanceTemporal constraintsCardiac motionTrackingRegularization functionDependent featuresEchocardiography imagesNetworkPrior assumptionsField
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 modelINTEGRATED SEGMENTATION AND DEFORMATION ANALYSIS OF 4-D CARDIAC MR IMAGES
Zhu Y, Yan P, Papademetris X, Sinusas A, Duncan J. INTEGRATED SEGMENTATION AND DEFORMATION ANALYSIS OF 4-D CARDIAC MR IMAGES. 2008, 1437-1440. DOI: 10.1109/isbi.2008.4541277.Peer-Reviewed Original Research
2006
Boundary Element Method-Based Scattered Feature Interpolation Algorithm in the Analysis of LV Deformation
Yan P, Sinusas A, Duncan J. Boundary Element Method-Based Scattered Feature Interpolation Algorithm in the Analysis of LV Deformation. 2006, 1-8. DOI: 10.1109/cvprw.2006.47.Peer-Reviewed Original ResearchBoundary element methodElement methodFree-form deformationInterpolation algorithmDisplacement fieldImage sequencesDense displacement fieldLattice densityDeformationCardiac magnetic resonance image sequencesAccurate estimationForm deformationComputational efficiencyMagnetic resonance image sequencesStandard B-splinesRobust Point MatchingInterpolation methodPoint matchingComputation timeNew interpolation algorithmPhysical plausibilityB-splinesDensitySpatial positionImage-derived features