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
1994
Shape-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