Hemorheology

Robertson, Anne M.; Sequeira, Adélia; Kameneva, Marina V.

doi:10.1007/978-3-7643-7806-6_2

Cited by 62 publications

(59 citation statements)

References 109 publications

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“…)/δt stands for the so-called convected derivative, a generalisation of the material time derivative, chosen so that δτ /δt is objective under a superposed rigid body motion and the resulting second-order tensor is symmetric [114]. A more general class of rate type models, includes the Oldroyd-B models defined by…”

Section: Viscoelasticity and Thixotropy Of Bloodmentioning

confidence: 99%

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Methods of Blood Flow Modelling

Bessonov

Sequeira

Simakov

et al. 2015

Math. Model. Nat. Phenom.

152

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Abstract. This review is devoted to recent developments in blood flow modelling. It begins with the discussion of blood rheology and its non-Newtonian properties. After that we will present some modelling methods where blood is considered as a heterogeneous fluid composed of plasma and blood cells. Namely, we will describe the method of Dissipative Particle Dynamics and will present some results of blood flow modelling. The last part of this paper deals with onedimensional global models of blood circulation. We will explain the main ideas of this approach and will present some examples of its application.

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Section: Viscoelasticity and Thixotropy Of Bloodmentioning

confidence: 99%

“…[114]) as well as the constitutive model developed by Quemada [112] using an approach, with the apparent viscosity µ given by…”

Section: Yield Stress Of Bloodmentioning

confidence: 99%

Methods of Blood Flow Modelling

Bessonov

Sequeira

Simakov

et al. 2015

Math. Model. Nat. Phenom.

152

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show abstract

“…In diabetes, the recovery time for a RBC to return to its original shape after being deformed is slowed, and cell deformability is additionally impaired [17]. Sickle cell disease causes the cells to have a reduced deformability due to abnormal sickle haemoglobin, which causes a cell to form with a sickle shape [21]. The RBCs are also known to deform due to being enriched in cholesterol, which causes the cells to become pancake-shaped with a wavy edge [17].…”

Section: Rbc Deformationmentioning

confidence: 99%

Optically clear biomicroviscometer with modular geometry using disposable PDMS chips

Lee-Yow

Pitts

Fenech

2017

2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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ii AbstractWe have designed and fabricated a biomicroviscometer platform for measurement of microflows of biological fluids. The biomicroviscometer combines an optically clear biocompatible polydimethylsiloxane (PDMS) channel with on-chip integrated microfluidic differential pressure sensors and capabilities of modular channel geometries. This setup allows for a direct measurement of the change in pressure and flow rate, increasing the overall accuracy of the measurement of viscosity and optical observation. We present an introduction of this combined method of measurement with different channel dimensions, using Newtonian and non-Newtonian fluids, and the corresponding calculations. This measurement technique has potential applications in measuring rheological properties at the micro level to further blood disease analysis, and lab-on-a-chip fabrication and analysis.Acknowledgements iii

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“…Due to the high shear rates found in most arteries and the length of time necessary for the blood microstructure to form, it is reasonable to treat the blood viscosity as constant in most parts of the arterial system of healthy individuals. 12 If local wall shear stress and mass transport are of interest, this idealization may not be appropriate within the slow recirculating flows found in many saccular aneurysms. Modeling the formation and dissolution of these structures in aneurysms is beyond the scope of our current capabilities, though recent advances in multiphase modeling of blood are promising.…”

Section: Why Are There So Many Idealizations In Cfd Studies?mentioning

confidence: 99%

Computational Fluid Dynamics in Aneurysm Research: Critical Reflections, Future Directions

Robertson¹,

Watton²

2012

AJNR Am J Neuroradiol

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significant parameter that has yet to be fully evaluated.2 New technologies develop and evolve so as to both optimize their capabilities and expand the applications to which they may be applied. Such it was with x-rays, and such it is with CFD. New technologies are most often overvalued when first described; then, as they become disseminated, they sink below their true value, finally reaching a state of realistic value only when they have been widely tested and optimized. Potential applications of CFD have not been fully explored, optimization of computational techniques for assessing blood flow in and around IAs is ongoing, and the definition of the most meaningful output parameters are not at a stage where there can be any broad consensus. Thus, in our opinion, it is not realistic to make a value judgment regarding the ultimate value of CFDs, either as a means for investigating basic hemodynamic phenomena or as a tool that may be useful in a clinical environment. Next Step and Closing RemarksTo us, it seems implausible to expect that, in isolation, CFD studies may reveal singular keys to important questions about a biologic process such as the initiation, growth, and rupture of IAs. It does, however, seem quite plausible that the results from CFD studies on large populations could provide great help in categorizing aneurysms according any number of hemodynamic parameters. Perhaps, then, these categories, when correlated with other factors known to be important in vascular health-such as collagen mutations, smoking, family history, and so on-and then if further combined with information specific to individual patients-such as age, sex, and perianeurysmal environment-could give insights that might prove useful in predicting the risk of aneurysm rupture. We fully realize that correlations do not represent causation; however, in our experiences, as well as in those of others, they sometimes offer very significant hints. 3,4 As the ability to perform CFD in clinical environments on large numbers of patients increases, as more insight is gained into the regulation of arterial health (homeostasis) and remodeling, as more understanding is gained about the mechanics of the vascular wall, as the ability to image not only the vascular lumen but also the arterial wall increases, this additional information may send computational scientists back to broaden and refine their mathematic models, thereby leading to methods that would allow investigation and integration of other important and potentially clinically relevant parameters, such as collagen turnover, cross-linking, and so on (eg, fluid-structure-growth modeling).Believing in the great potential for the integration of observations and measurements made by clinicians with simulations, calculations, and models made by scientists, we feel that this is a time to be optimistic and proactive in collaborations that unite and optimize our ability to define just what value CFD adds to the ability to mitigate the death and misery currently associated with IAs.

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Hemorheology

Cited by 62 publications

References 109 publications

Methods of Blood Flow Modelling

Methods of Blood Flow Modelling

Optically clear biomicroviscometer with modular geometry using disposable PDMS chips

Computational Fluid Dynamics in Aneurysm Research: Critical Reflections, Future Directions

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