Vein mechanism simulation study for deep vein thrombosis early diagnosis using cfd

Ibrahim, Nabilah; Aziz, Nur Shazilah bt; Manap, Abreeza

doi:10.1088/1742-6596/822/1/012040

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…If a two-way coupling approach is adopted by Shams et al (2007), the deformation of the deflector, obtained with the structural analysis, will enlarge/shrink the volume of the fluid computational domain, solved by the fluid flow solver. It is believed that two-way FSI is obligatory to be considered for some applications, especially in micro-scale devices, such as micro-pumps (Longo et al, 2017), or where the elasticity of the solid parts are considered as in biomedical blood simulation in veins (Ibrahim et al, 2017). However, FSI may be an unnecessary sophistication if it employed where the fluid domain is too large compared to the deformation of the solid bodies.…”

Section: Characteristics Advantages and Limitations Of Numerical mentioning

confidence: 99%

“…Therefore, the load on heart to pump blood reduces. Blood flow is rather a complicated non-Newtonian flow in which the elastic properties of veins affect the flow characteristics (Ibrahim et al, 2017; Tazraei et al, 2015). The same principle was also shown to be employed to reduce viscosity and suppress turbulence in the flow of crude oil in oil pipelines (Du et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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A review on multi-physics numerical modelling in different applications of magnetorheological fluids

Elsaady

Oyadiji

Nasser

2020

Journal of Intelligent Material Systems and Structures

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Magnetorheological fluids involve multi-physics phenomena which are manifested by interactions between structural mechanics, electromagnetism and rheological fluid flow. In comparison with analytical models, numerical models employed for magnetorheological fluid applications are thought to be more advantageous, as they can predict more phenomena, more parameters of design, and involve fewer model assumptions. On that basis, the state-of-the-art numerical methods that investigate the multi-physics behaviour of magnetorheological fluids in different applications are reviewed in this article. Theories, characteristics, limitations and considerations employed in numerical models are discussed. Modelling of magnetic field has been found to be rather an uncomplicated affair in comparison to modelling of fluid flow field which is rather complicated. This is because, the former involves essentially one phenomenon/mechanism, whereas the latter involves a plethora of phenomena/mechanisms such as laminar versus turbulent rheological flow, incompressible versus compressible flow, and single- versus two-phase flow. Moreover, some models are shown to be still incapable of predicting the rheological nonlinear behaviour of magnetorheological fluids although they can predict the dynamic characteristics of the system.

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Section: Characteristics Advantages and Limitations Of Numerical mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A review on multi-physics numerical modelling in different applications of magnetorheological fluids

Elsaady

Oyadiji

Nasser

2020

Journal of Intelligent Material Systems and Structures

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“…Introducing CFD to medical imaging makes non-invasive studies of the operations of valves possible. A model was developed by Ibrahim et al to study valve openings in the popliteal vein and their effects on blood flow [30]. The valve opening was varied, and the size of the static zone and vorticity were investigated.…”

Section: Introductionmentioning

confidence: 99%

A Mechano-Chemical Computational Model of Deep Vein Thrombosis

2022

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Computational models of deep vein thrombosis (DVT) typically account for either the mechanical or biochemical factors involved in thrombus formation. Developing a model that accounts for both factors will improve our understanding of the coagulation process in this particular disease. The work presented in this study details the development of a CFD model that considers the biochemical reactions between thrombin and fibrinogen, pulsatile blood flow, and clot growth within a three-dimensional patient-specific common femoral vein. Thrombin is released into the bloodstream from an injury zone on the wall of the vein. The Michaelis–Menten equation is used to represent the conversion of thrombin and fibrinogen to fibrin, the final product of the coagulation process. The model development starts with a two-dimensional idealized geometry. At this stage, the model is used to conduct a parametric study to determine the effects of varying parameters such as inlet velocity, vein diameter, and peak thrombin concentration on the size and shape of the clot formed. Peak thrombin concentration is the key factor driving the initiation and propagation of clots in the vein. To demonstrate the potential use of the model, the two-dimensional model is then extended to an image-derived three-dimensional patient-specific geometry. Realistic clot growth was achieved using this model, and the clot was compared to a clot formed in vivo. The volume of the clot that formed in the patient was about 4% smaller than that formed in the simulation. This demonstrates that with further development and refinement, this model could be used for patient-specific interventional planning. The model provides a means for predicting clot formation under different physiological conditions in a non-invasive manner.

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Effect of stent treatment on hemodynamics in iliac vein compression syndrome with collateral vein

Zhan

Wang

et al. 2023

Medical Engineering & Physics

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Vein mechanism simulation study for deep vein thrombosis early diagnosis using cfd

Cited by 3 publications

References 4 publications

A review on multi-physics numerical modelling in different applications of magnetorheological fluids

A review on multi-physics numerical modelling in different applications of magnetorheological fluids

A Mechano-Chemical Computational Model of Deep Vein Thrombosis

Effect of stent treatment on hemodynamics in iliac vein compression syndrome with collateral vein

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