2024
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography
Ta K, Ahn S, Thorn S, Stendahl J, Zhang X, Langdon J, Staib L, Sinusas A, Duncan J. Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Transactions On Medical Imaging 2024, 43: 2010-2020. PMID: 38231820, PMCID: PMC11514714, DOI: 10.1109/tmi.2024.3355383.Peer-Reviewed Original ResearchMulti-task learning networkCross-stitch unitsComposite loss functionAccurate motion estimationTask-specific networksMotion estimationSegmentation masksLearning networkLoss functionSegmentation stepEchocardiography datasetNetworkMotion displacementMotion analysisMultiple time framesTaskAnalysis pipelineSegmentsStrain measurementsDatasetRepresentation
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
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
2004
Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation
Wong C, Liu H, Wong L, Sinusas A, Shi P. Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation. 2004, 2: 464-467. DOI: 10.1109/isbi.2004.1398575.Peer-Reviewed Original ResearchMaterial modelComposite material modelCardiac motion analysisRealistic material modelsTotal Lagrangian formulationDeformation formulationDeformation situationLarge deformationKinematic discontinuityAnisotropic materialsLagrangian formulationMotion analysisParticle paradigmDeformationComputation platformKey issuesCertain advantagesFormulationMaterials
2003
Motion Analysis of 3D Ultrasound Texture Patterns
Yu W, Lin N, Yan P, Purushothaman K, Sinusas A, Thiele K, Duncan J. Motion Analysis of 3D Ultrasound Texture Patterns. Lecture Notes In Computer Science 2003, 2674: 253-261. DOI: 10.1007/3-540-44883-7_26.Peer-Reviewed Original Research
1999
Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery
Shi P, Sinusas A, Constable R, Duncan J. Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery. International Journal Of Computer Vision 1999, 35: 87-107. DOI: 10.1023/a:1008163112590.Peer-Reviewed Original ResearchMotion estimationNon-rigid motion estimationInstantaneous velocity dataCardiac motion recoveryContinuum mechanics principlesMotion recovery problemData fusionImage sequencesVolumetric deformationPhysical objectsMechanics principlesDisplacement informationComplementary data sourcesDynamic behaviorMotion recoveryData sourcesVelocity dataRecovery problemMotion analysisNew methodDeformationEstimationMeaningful constraintsObjectsPatient diagnosis
1994
Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging
Constable R, Rath K, Sinusas A, Gore J. Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magnetic Resonance In Medicine 1994, 32: 33-42. PMID: 8084235, DOI: 10.1002/mrm.1910320106.Peer-Reviewed Original Research