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- Title
Data assimilation for identification of cardiovascular network characteristics.
- Authors
Lal, Rajnesh; Mohammadi, Bijan; Nicoud, Franck
- Abstract
A method to estimate the hemodynamics parameters of a network of vessels using an Ensemble Kalman filter is presented. The elastic moduli (Young's modulus) of blood vessels and the terminal boundary parameters are estimated as the solution of an inverse problem. Two synthetic test cases and a configuration where experimental data are available are presented. The sensitivity analysis confirms that the proposed method is quite robust even with a few numbers of observations. The simulations with the estimated parameters recovers target pressure or flow rate waveforms at given specific locations, improving the state-of-the-art predictions available in the literature. This shows the effectiveness and efficiency of both the parameter estimation algorithm and the blood flow model.
- Subjects
CARDIOVASCULAR system physiology; HEMODYNAMICS; HEART blood-vessels; KALMAN filtering; YOUNG'S modulus
- Publication
International Journal for Numerical Methods in Biomedical Engineering, 2017, Vol 33, Issue 5, pn/a
- ISSN
2040-7939
- Publication type
Article
- DOI
10.1002/cnm.2824