Optimal measurement locations for diagnosis of aortic abnormalities in a lumped-parameter model of the systemic circulation using sensitivity analysis

Abstract

The basic theme of this work is to identify the optimal measurement locations for pressure and flow in the systemic circulation to detect aortic stenoses and aneurysms in early stages of a disease. For this purpose, a linear elastic lumped parameter model of the fluid dynamical simulator, major arterial cardiovascular simulator (MACSim), is considered and global sensitivity analysis is applied to identify the better measurement locations for pressure and flow in the systemic circulation. The obtained results of sensitivity analysis provide insight that enable the experimentalists to optimize their experimental setups for detecting aortic stenoses and aneurysms using parameter estimation process. From the results, it is observed that the stenosis in the thoracic aorta can be identified from both pressure and flow at the location itself, nearby nodes, aorta ascendens, arcus aorta, arteria subclavia and arteria axillaris. On the other hand, the preferable measurement locations for abdominal aneurysms are locations themselves, nearby nodes and left/right leg of the body.

Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system

“…These equations provide a way to link observable quantities to the outcome. We will use a parametric 0-d model to simulate the global circulation (in the spirit of [13][14][15][16][17][18][19]). The parameters of the model, once calibrated, will make it possible to investigate the changes in the animals' cardiovascular system with age.…”

“…In this part of the project, we have considered a 0-d model (concerning 0-d models the reader is referred to [13][14][15][16][17][18][19]) for the left part of the heart coupled to systemic circulation which makes it possible to describe the main observable haemodynamics quantities and their evolution in time. Once the data are reproduced, we can calibrate the model by estimating the values of the parameters.…”

Estimation of local arterial stiffness using non-invasive flow measurements: a study on a stenosed carotid artery

“…Lumped or 0D models of the CVS have gained popularity due to their computational efficiency as compared to the higher or multi-dimensional models [22][23][24][25][26][27][28][29][30][31][32][33][38][39][40][41][42][43][44][45]. In this work, an already developed 0D viscoelastic model of the stenosed carotid arteries is considered in which, the major carotid arteries are split into six arterial segments [20], see figure (1, top).…”

Sensitivity Analysis: A Useful Tool for Bifurcation Analysis

“…In GSA, the analysis is performed over entire feasible regions of the input parameters and quantifies the impact of parameter interactions on output variables. The only deficiency related to the GSA is its computational cost [5][6][7][8][9][10][11][12] ( Figure 1). Figure 1.…”