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
1996
Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach
Meyer FG, Constable RT, Sinusas AJ, Duncan JS. Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach. IEEE Transactions On Medical Imaging 1996, 15: 453-465. PMID: 18215927, DOI: 10.1109/42.511749.Peer-Reviewed Original ResearchVelocity fieldVelocity dataKalman filterAverage errorField velocityVelocity vectorMR velocity dataDeformationEntire cardiac cycleNew approachBasic dynamical modelImage framesMotion problemCardiac motionLV motionFilterMotionContour dataStochastic approachThree-dimensional datasetsDynamical modelNoisePath lengthKinematicsPhantom data