Sampled-Data ηα Filtering for Robust Kinematics Estimation: Applications to Biomechanics-Based Cardiac Image Analysis
Tong S, Sinusas A, Shi P. Sampled-Data ηα Filtering for Robust Kinematics Estimation: Applications to Biomechanics-Based Cardiac Image Analysis. 2014 IEEE International Conference On Image Processing (ICIP) 2006, 2525-2528. DOI: 10.1109/icip.2006.312955.Peer-Reviewed Original ResearchCanine MR phase contrast imagesPeriodic medical image sequencesContinuous-time state equationsDiscrete time instantsMore accurate estimation resultsAccurate estimation resultsCardiac image analysisKinematics estimationReal-world problemsMedical image sequencesState equationContinuous dynamicsParameter uncertaintiesSynthetic data experimentsModel uncertaintyState estimatesCardiac motion estimationTime instantsFiltering frameworkMotion estimationData disturbancesImage sequencesDiscrete measurementsNoisy natureData experimentsContinuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains
Tong S, Sinusas A, Shi P. Continuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains. 2006, 1: 167-170. DOI: 10.1109/icpr.2006.413.Peer-Reviewed Original ResearchCanine MR phase contrast imagesPeriodic medical image sequencesKinematics estimationMore accurate estimation resultsAccurate estimation resultsContinuous-time state equationsParameter uncertaintiesFiltering frameworkDiscrete time instantsState estimatesDiscrete filteringMedical image sequencesState equationDiscrete measurementsContinuous dynamicsTime instantsSynthetic data experimentsFiltering strategyImage sequencesData experimentsEstimation resultsNoisy natureEstimationMeasurementsCardiac dynamics