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
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 contributionTrackingAlgorithmDatasetProgrammingNodesMatchingLearning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis
Lu A, Zontak M, Parajuli N, Stendahl J, Boutagy N, Eberle M, Alkhalil I, O’Donnell M, Sinusas A, Duncan J. Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis. Lecture Notes In Computer Science 2017, 10434: 323-331. DOI: 10.1007/978-3-319-66185-8_37.Peer-Reviewed Original ResearchDeformation analysisTracking methodCardiac motion trackingDeformation-based methodUltrasound imaging propertiesSurface trackingGood overall estimationCardiac deformation analysisMotion trackingSpatiotemporal regularizationInput sourcesDifferent input sourcesTracking resultsTrackingPerceptron networkRegularization procedureMulti-layered perceptron networkMethod
2014
POLYMER IODINATION FOR IMPROVED IN VITRO TRACKING OF BIODEGRADABLE STENT DEGRADATION: SERIAL MICROCT IMAGING FOR BIOREACTOR TESTING
Winters J, Lee J, Guelcher M, Mathur A, Martin J, Fahmy T, Sinusas A. POLYMER IODINATION FOR IMPROVED IN VITRO TRACKING OF BIODEGRADABLE STENT DEGRADATION: SERIAL MICROCT IMAGING FOR BIOREACTOR TESTING. Journal Of The American College Of Cardiology 2014, 63: a1049. DOI: 10.1016/s0735-1097(14)61049-4.Peer-Reviewed Original ResearchPhase rotation in correlation coefficient filtering and multi-pass methods for 3-D speckle tracking in 4-D echocardiography
Wong E, O'Donnell M, Compas C, Lin B, Sinusas A, Duncan J. Phase rotation in correlation coefficient filtering and multi-pass methods for 3-D speckle tracking in 4-D echocardiography. 2014, 1-4. DOI: 10.1109/ultsym.2014.0001.Peer-Reviewed Original ResearchPeak hopping artifactsTwo-pass processingPeak hoppingPhase rotationLocal strain distributionLow strain casesMulti-pass processMulti-pass methodDisplacement accuracyLarge strainsStrain distributionAxial displacementDisplacement estimatesStrain casePrevious passSubsequent passOrthogonal directionsTransition zoneFrame rateFilterTrackingConventional correlation filtersSpeckle trackingFilteringCorrelation filter
2013
4-D echocardiography assessment of local myocardial strain using 3-D speckle tracking combined with shape tracking
Wong E, O'Donnell M, Thiele K, Comnas C, Huang X, Sampath S, Lin B, Pal P, Papademetris X, Dione D, Staib L, Sinusas A, Duncan J. 4-D echocardiography assessment of local myocardial strain using 3-D speckle tracking combined with shape tracking. 2013, 100-103. DOI: 10.1109/ultsym.2013.0026.Peer-Reviewed Original Research
2012
Multi-Band Confidence Processing for Two-Pass Speckle Tracking
Wong E, Odonnell M, Compas C, Lin B, Sinusas A, Duncan J. Multi-Band Confidence Processing for Two-Pass Speckle Tracking. 2012, 200-203. DOI: 10.1109/ultsym.2012.0050.Peer-Reviewed Original ResearchTwo-pass approachCorrelation-based trackingSmall search regionSub-band imagesPeak hoppingAdjacent framesSearch regionTwo-pass methodConfidence weightsSingle-pass methodInterframe displacementTrackingPixelsImagesInitial guessRF imagesCubic interpolationRF dataPrevious passMulti-band algorithmDisplacement estimatesDifferent frequency componentsBroadband imagesConfidence indexAlgorithm
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
2007
4D Elasticity Imaging of PVA LV Phantom Integrated with Pulsatile Circulation System Using 2D Phased Array
Jia C, Kim K, Kolias T, Rubin J, Weitzel W, Yan P, Dione D, Sinusas A, Duncan J, O'Donnell M. 4D Elasticity Imaging of PVA LV Phantom Integrated with Pulsatile Circulation System Using 2D Phased Array. 2014 IEEE International Ultrasonics Symposium 2007, 876-879. DOI: 10.1109/ultsym.2007.224.Peer-Reviewed Original ResearchData volumeComplex cardiac motionCardiac motionPulsatile circulation systemChallenging issueLV phantomReal timeElasticity imagingKernel sizeTrackingData setsPlane motionElasticity imaging techniquesHeart motionPolyvinyl alcohol cryogelPulsatile pumpCommercial 2DThird dimensionPVA cryogelElasticity imagesCirculation systemFreeze-thaw cyclesUltrasound scatterersVentricular phantomAzimuthal displacement
2004
Pointwise Motion Tracking in Echocardiographic Images
Yu W, Yan P, Sinusas A, Thiele K, Duncan J. Pointwise Motion Tracking in Echocardiographic Images. 2004, 1: i-676-i-683. DOI: 10.1109/cvpr.2004.1315097.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
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 ResearchShape-based 4D left ventricular myocardial function analysis
Shi P, Amini A, Robinson G, Sinusas A, Constable C, Duncan J. Shape-based 4D left ventricular myocardial function analysis. 1994, 88-97. DOI: 10.1109/bia.1994.315862.Peer-Reviewed Original ResearchFour-dimensional image dataImage analysis algorithmsSurface curvature estimationInitial experimental resultsImage dataImage sequencesImage analysis methodMotion trackingVisualization techniquesAnalysis algorithmImage-derived measuresDifferent modalitiesSurface triangulationExperimental resultsTemporal framesCurvature estimationLV motionRegional myocardial viabilityAlgorithmAnalysis methodTrackingNew developmentsTechniqueQuantitative measures