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
2010
3D elasticity imaging using principal stretches on an open-chest dog heart
Jia C, Yan P, Sinusas A, Dione D, Lin B, Wei Q, Thiele K, Kolias J, Rubin J, Huang L, Duncan J, O'Donnell M. 3D elasticity imaging using principal stretches on an open-chest dog heart. 2010, 583-586. DOI: 10.1109/ultsym.2010.5935864.Peer-Reviewed Original ResearchPrincipal stretchesUltrasound strain imagingLow-dimensional methodThree-dimensional motionCauchy deformation tensorAxial directionRadial directionDeformation tensorLongitudinal directionUltrasound strainSmall waterHeart motionTracking algorithmPrincipal directionsCommercial 2DProbe positionTracking resultsProbe orientationStrain imagingDimensional methodDisplacementCommercial 3D scannerElasticityTrackingZenithal direction
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
2007
LV STRAIN ESTIMATION FROM 4D ECHOCARDIOGRAPHY
Duncan J, Yan P, Zhu Y, Sinusas A, Jia C, Donnell M. LV STRAIN ESTIMATION FROM 4D ECHOCARDIOGRAPHY. 2007, 696-699. DOI: 10.1109/isbi.2007.356947.Peer-Reviewed Original ResearchDisplacement informationUltrasound arraySpeckle tracking algorithmStrain estimationRegional left ventricular deformationRF signalB-mode imagesBiomechanical modelIntegrated systemRadiofrequency signalsTracking algorithmRobust Point MatchingAcoustic dataPoint matchingDeformationImportant shape featuresCurvature valuesSignalsAnalysis systemDisplacementShape featuresSurface
2001
Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images
Sinusas A, Papademetris X, Constable R, Dione D, Slade M, Shi P, Duncan J. Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. AJP Heart And Circulatory Physiology 2001, 281: h698-h714. PMID: 11454574, DOI: 10.1152/ajpheart.2001.281.2.h698.Peer-Reviewed Original Research
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