2017
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching
Parajuli N, Lu A, Stendahl J, Zontak M, Boutagy N, Alkhalil I, Eberle M, Lin B, O’Donnell M, Sinusas A, Duncan J. Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. Lecture Notes In Computer Science 2017, 10434: 279-286. DOI: 10.1007/978-3-319-66185-8_32.Peer-Reviewed Original ResearchCardiac motion trackingNeural networkMotion trackingTedious feature engineeringSiamese neural networkMotion tracking methodFeature engineeringSiamese networkFeature matchingGraph nodesImage patchesSpatiotemporal problemsTracking algorithmTracking methodEdge weightsNetworkLinear programmingConsistent constraintsAdditional important contributionTrackingAlgorithmDatasetProgrammingNodesMatching
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 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
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
2000
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
Papademetris X, Sinusas A, Dione D, Constable R, Duncan J. Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. Lecture Notes In Computer Science 2000, 1935: 678-686. DOI: 10.1007/978-3-540-40899-4_70.Peer-Reviewed Original Research
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