Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

摘要: Cardiac disease can reduce the ability of ventricles to function well enough sustain long-term pumping efficiency. Recent advances in cardiac motion tracking have led improvements analysis function. We propose a method study cohort effects related age with respect The proposed approach makes use recent for describing given subject using polyaffine model, which gives compact parameterization that reliably and accurately describes across populations. Using this method, data tensor parameters is extracted population. partial least squares higher order arrays used build model describe age, from derived. Based on cross-sectional statistical each treated as an observation along time, left ventricular over time Tetralogy Fallot patients analysed understand temporal evolution functional abnormalities population compared healthy dynamics.