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 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
Continuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains
Tong S, Sinusas A, Shi P. Continuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains. 2006, 1: 167-170. DOI: 10.1109/icpr.2006.413.Peer-Reviewed Original ResearchCanine MR phase contrast imagesPeriodic medical image sequencesKinematics estimationMore accurate estimation resultsAccurate estimation resultsContinuous-time state equationsParameter uncertaintiesFiltering frameworkDiscrete time instantsState estimatesDiscrete filteringMedical image sequencesState equationDiscrete measurementsContinuous dynamicsTime instantsSynthetic data experimentsFiltering strategyImage sequencesData experimentsEstimation resultsNoisy natureEstimationMeasurementsCardiac dynamics
2001
The Active Elastic Model
Papademetris X, Constable R, Onat E, Duncan J, Sinusas A, Dione D. The Active Elastic Model. Lecture Notes In Computer Science 2001, 2082: 36-49. DOI: 10.1007/3-540-45729-1_4.Peer-Reviewed Original ResearchEstimation of 3D left ventricular deformation from echocardiography
Papademetris X, Sinusas A, Dione D, Duncan J. Estimation of 3D left ventricular deformation from echocardiography. Medical Image Analysis 2001, 5: 17-28. PMID: 11231174, DOI: 10.1016/s1361-8415(00)00022-0.Peer-Reviewed Original ResearchConceptsDense motion fieldIsotropic linear elastic modelRegional cardiac deformationLinear elastic modelMotion fieldTerms of strainCardiac deformationFiber directionElastic modelDeformationHeart wallGood agreementHeart deformationImage sequencesWallEstimationSpecific directionUltrasound imagesQuantitative estimationInitial correspondenceField
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
1995
A model-based integrated approach to track myocardial deformation using displacement and velocity constraints
Shi P, Robinson G, Constable R, Sinusas A, Duncan J. A model-based integrated approach to track myocardial deformation using displacement and velocity constraints. 1995, 687-692. DOI: 10.1109/iccv.1995.466872.Peer-Reviewed Original ResearchFinite element frameworkInstantaneous velocity informationVelocity informationElement frameworkMid-wall regionMotion trackingDeformationVelocity constraintsMotion estimationPhase-contrast magnetic resonance imagesAccurate estimationBiomechanical heart modelField motionBoundary informationNew methodBoundariesEstimationIntegrated approachDisplacementTracking