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
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
2003
Motion Analysis of 3D Ultrasound Texture Patterns
Yu W, Lin N, Yan P, Purushothaman K, Sinusas A, Thiele K, Duncan J. Motion Analysis of 3D Ultrasound Texture Patterns. Lecture Notes In Computer Science 2003, 2674: 253-261. DOI: 10.1007/3-540-44883-7_26.Peer-Reviewed Original Research
1996
Dense nonrigid motion tracking from a sequence of velocity fields
Meyer F, Constable R, Sinusas A, Duncan J. Dense nonrigid motion tracking from a sequence of velocity fields. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1996, 839-844. DOI: 10.1109/cvpr.1996.517169.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