The protocol for using elastic wall model in modeling blood flow within human artery

Nowak, Marcin; Melka, Bartłomiej; Rojczyk, Marek; Gracka, Maria; Nowak, Andrzej J.; Gołda, Adam; Adamczyk, Wojciech; Isaac, Benjamin; Białecki, Ryszard A.; Ostrowski, Ziemowit

doi:10.1016/j.euromechflu.2019.03.009

Cited by 14 publications

(6 citation statements)

References 19 publications

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“…Their results suggested that both WSS and WS presented significant differences between the simplest approaches (CSM and CFD) and FSI models. As reported by Nowak et al [40], these differences were greater for more compliant aortas. Bäumler et al [25] studied the importance of modelling realistic wall and tear motion to AD haemodynamics and also found that FSI simulations contributed to improving the agreement of numerical results with MRI data.…”

Section: Relevance Of Modelling Certain Physiological Featuressupporting

confidence: 76%

“…On one hand, we are still lacking a concrete understanding of which biomechanical features of diseased and healthy aortas are relevant to be modelled. For instance, in Section 3.7, we discussed the contradictory evidence that was found on modelling the flow rheology [23,110], turbulence [11,110,112] and wall dynamics [40,73]. Another contributor to inaccuracies is the often disregarded of features that may significantly impact the numerical results, such as wall thickness and mechanical properties' heterogeneity, aortic root displacement and external pressure exerted by surrounding vasculatures (e.g., pulmonary trunk and superior vena cava).…”

Section: Discussionmentioning

confidence: 99%

“…These and their relative frequency are depicted in Figure 4. The vast majority of the reviewed works resorted to the FEM and Finite Volume Method (FVM), which are grid-based methods to solve partial differential equations and allow the calculation of CSM [34][35][36], CFD [31,37,38] and FSI [21,39,40] simulations. FEM solves the differential equation by diving the analysed systems into finite elements and their predominance can be supported by several aspects.…”

Section: Computational Techniques To Model Diseased Aortasmentioning

confidence: 99%

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Computational Modelling and Simulation of Fluid Structure Interaction in Aortic Aneurysms: A Systematic Review and Discussion of the Clinical Potential

et al. 2022

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Aortic aneurysm is a cardiovascular disease related to the alteration of the aortic tissue. It is an important cause of death in developed countries, especially for older patients. The diagnosis and treatment of such pathology is performed according to guidelines, which suggest surgical or interventional (stenting) procedures for aneurysms with a maximum diameter above a critical threshold. Although conservative, this clinical approach is also not able to predict the risk of acute complications for every patient. In the last decade, there has been growing interest towards the development of advanced in silico aortic models, which may assist in clinical diagnosis, surgical procedure planning or the design and validation of medical devices. This paper details a comprehensive review of computational modelling and simulations of blood vessel interaction in aortic aneurysms and dissection, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). In particular, the following questions are addressed: “What mathematical models were applied to simulate the biomechanical behaviour of healthy and diseased aortas?” and “Why are these models not clinically implemented?”. Contemporary evidence proves that computational models are able to provide clinicians with additional, otherwise unavailable in vivo data and potentially identify patients who may benefit from earlier treatment. Notwithstanding the above, these tools are still not widely implemented, primarily due to low accuracy, an extensive reporting time and lack of numerical validation.

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Section: Relevance Of Modelling Certain Physiological Featuressupporting

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Section: Computational Techniques To Model Diseased Aortasmentioning

confidence: 99%

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Computational Modelling and Simulation of Fluid Structure Interaction in Aortic Aneurysms: A Systematic Review and Discussion of the Clinical Potential

et al. 2022

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“…Multiphase mixture theory was used to examine the hemodynamic parameters because this approach is more precise than the Euler-Euler model as mentioned by an earlier study [32]. Additionally, readers are requested to refer to the literature by [33,34].…”

Section: Multiphase Blood Flow Modelmentioning

confidence: 99%

Two-Phase Non-Newtonian Pulsatile Blood Flow Simulations in a Rigid and Flexible Patient-Specific Left Coronary Artery (LCA) Exhibiting Multi-Stenosis

et al. 2021

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Coronary artery disease (CAD) is stated as one of the most common causes of death all over the world. This article explores the influence of multi stenosis in a flexible and rigid left coronary artery (LCA) model using a multiphase blood flow system which has not yet been studied. Two-way fluid–solid interaction (FSI) is employed to achieve flow within the flexible artery model. A realistic three-dimensional model of multi-stenosed LCA was reconstructed based on computerized tomography (CT) images. The fluid domain was solved using a finite volume-based commercial software (FLUENT 2020). The fluid (blood) and solid (wall) domains were fully coupled by using the ANSYS Fluid-Structure Interaction solver. The maximum pressure drops, and wall shear stress was determined across the sever stenosis (90% AS). The higher region of displacement occurs at the pre-stenosis area compared to the other area of the left coronary artery model. An increase in blood flow velocity across the restricted regions (stenosis) in the LCA was observed, whereas the recirculation zone at the post-stenosis and bifurcation regions was noted. An overestimation of hemodynamic descriptors for the rigid models was found as compared to the FSI models.

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“…The simulation of the upper arm low-ductility massage belt B and the forearm low-ductility massage belt B is carried out to improve the parameter design and optimization of the total rehabilitation module of the device. As an excellent finite element analysis software, ANSYS has been more and more used in biological simulation experiments ( Nowak et al, 2019 ; Aubert et al, 2020 ; Kumar et al, 2020 ). According to the biological structure of human upper limb, a 3D reconstruction of an upper limb model was carried out, and the simulation results were output by ANSYS software.…”

Section: Principle Of Device Designmentioning

confidence: 99%

Study on the Design and Optimization of a Portable Monitoring and Auxiliary Treatment Device for Upper Extremity Lymphedema–Focus on the Rehabilitation Function of the Device

Yanmin

Zhang

Wen

et al. 2021

Front. Bioeng. Biotechnol.

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Female patients suffer from the risk of upper limb lymphedema after breast cancer removal surgery. At present, the detection and the adjuvant treatment of this disease are not convenient enough, leading to delay of the disease and increase in the burden of patients. This paper presents a portable monitoring and treatment device for upper extremity lymphedema, enabling patients to monitor the symptoms of upper limb lymphedema and auxiliary rehabilitation. This design utilizes the arm circumference measurement and contrast method to realize symptom monitoring. The device realizes auxiliary rehabilitation using the regional pressure method to imitate traditional manual lymphatic drainage technology. According to the MRI images of volunteers’ upper limbs, the upper arm and forearm’s finite element models are reconstructed in ANSYS. The static simulation experiment is completed. The working mode and parameter design of each rehabilitation module of the device are obtained. The experimental results show that the integrated design principle of monitoring and treatment proposed in this paper has good feasibility, has auxiliary rehabilitation effect, and meets the principle of human comfort. The device can help patients find lymphedema in time and implement auxiliary treatment, which can effectively avoid the further deterioration of lymphedema.

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The protocol for using elastic wall model in modeling blood flow within human artery

Cited by 14 publications

References 19 publications

Computational Modelling and Simulation of Fluid Structure Interaction in Aortic Aneurysms: A Systematic Review and Discussion of the Clinical Potential

Computational Modelling and Simulation of Fluid Structure Interaction in Aortic Aneurysms: A Systematic Review and Discussion of the Clinical Potential

Two-Phase Non-Newtonian Pulsatile Blood Flow Simulations in a Rigid and Flexible Patient-Specific Left Coronary Artery (LCA) Exhibiting Multi-Stenosis

Study on the Design and Optimization of a Portable Monitoring and Auxiliary Treatment Device for Upper Extremity Lymphedema–Focus on the Rehabilitation Function of the Device

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