Literature DB >> 29759947

A simplified method to account for wall motion in patient-specific blood flow simulations of aortic dissection: Comparison with fluid-structure interaction.

Mirko Bonfanti1, Stavroula Balabani2, Mona Alimohammadi2, Obiekezie Agu3, Shervanthi Homer-Vanniasinkam4, Vanessa Díaz-Zuccarini5.   

Abstract

Aortic dissection (AD) is a complex and highly patient-specific vascular condition difficult to treat. Computational fluid dynamics (CFD) can aid the medical management of this pathology, yet its modelling and simulation are challenging. One aspect usually disregarded when modelling AD is the motion of the vessel wall, which has been shown to significantly impact simulation results. Fluid-structure interaction (FSI) methods are difficult to implement and are subject to assumptions regarding the mechanical properties of the vessel wall, which cannot be retrieved non-invasively. This paper presents a simplified 'moving-boundary method' (MBM) to account for the motion of the vessel wall in type-B AD CFD simulations, which can be tuned with non-invasive clinical images (e.g. 2D cine-MRI). The method is firstly validated against the 1D solution of flow through an elastic straight tube; it is then applied to a type-B AD case study and the results are compared to a state-of-the-art, full FSI simulation. Results show that the proposed method can capture the main effects due to the wall motion on the flow field: the average relative difference between flow and pressure waves obtained with the FSI and MBM simulations was less than 1.8% and 1.3%, respectively and the wall shear stress indices were found to have a similar distribution. Moreover, compared to FSI, MBM has the advantage to be less computationally expensive (requiring half of the time of an FSI simulation) and easier to implement, which are important requirements for clinical translation.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Aortic dissection; Blood flow; Compliant model; Computational fluid dynamics (CFD); Fluid-structure interaction (FSI); Moving boundary; Windkessel model

Year:  2018        PMID: 29759947     DOI: 10.1016/j.medengphy.2018.04.014

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Virtual TEVAR: Overcoming the Roadblocks of In-Silico Tools for Aortic Dissection Treatment.

Authors:  Vanessa Diaz-Zuccarini; Mirko Bonfanti; Gaia Franzetti; Stavroula Balabani
Journal:  Theranostics       Date:  2018-12-07       Impact factor: 11.556

2.  A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics.

Authors:  Catriona Stokes; Mirko Bonfanti; Zeyan Li; Jiang Xiong; Duanduan Chen; Stavroula Balabani; Vanessa Díaz-Zuccarini
Journal:  J Biomech       Date:  2021-10-09       Impact factor: 2.712

3.  A Combined In Vivo, In Vitro, In Silico Approach for Patient-Specific Haemodynamic Studies of Aortic Dissection.

Authors:  Mirko Bonfanti; Gaia Franzetti; Shervanthi Homer-Vanniasinkam; Vanessa Díaz-Zuccarini; Stavroula Balabani
Journal:  Ann Biomed Eng       Date:  2020-09-14       Impact factor: 3.934

  3 in total

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