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Weickenmeier, Johannes; Saéz, Pablo; Butler, Celia A. M.; Young, Paul A.; Goriely, Alain; Kuhl, Ellen

doi:10.1007/978-94-024-1220-8_10

Cited by 8 publications

(8 citation statements)

References 42 publications

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“…Indeed, authors and coworkers have applied a simplified version of this model, where blood flow was modeled using a constant viscosity, to simulate and compare different drug delivery therapies, see [6,5,42,43], based on mass and heat transport superposed to microcirculation. Considering the increasing interest in the application of sophisticated mathematical models to study the fluid and tissue mechanics in the brain, see for example [53,27,41,64], we see a significant potential in the application of the proposed model to analyze the interaction of vasculature and cerebrospinal fluid for metabolic waste clearance in the brain, according to the mechanisms hypothesized in [29].…”

Section: Discussionmentioning

confidence: 99%

A computational model for microcirculation including Fahraeus‐Lindqvist effect, plasma skimming and fluid exchange with the tissue interstitium

Possenti

Gregorio

Gerosa

et al. 2018

Numer Methods Biomed Eng

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We present a two phase model for microcirculation that describes the interaction of plasma with red blood cells. The model takes into account of typical effects characterizing the microcirculation, such as the Fahraeus-Lindqvist effect and plasma skimming. Besides these features, the model describes the interaction of capillaries with the surrounding tissue. More precisely, the model accounts for the interaction of capillary transmural flow with the surrounding interstitial pressure. Furthermore, the capillaries are represented as one-dimensional channels with arbitrary, possibly curved configuration. The latter two features rely on the unique ability of the model to account for variations of flow rate and pressure along the axis of the capillary, according to a local differential formulation of mass and momentum conservation. Indeed, the model stands on a solid mathematical foundation, which is also addressed in this work. In particular, we present the model derivation, the variational formulation and its approximation using the finite element method. Finally, we conclude the work with a comparative computational study of the importance of the Fahraeus-Lindqvist, plasma skimming and capillary leakage effects on the distribution of flow in a microvascular network.

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Section: Discussionmentioning

confidence: 99%

A computational model for microcirculation including Fahraeus‐Lindqvist effect, plasma skimming and fluid exchange with the tissue interstitium

Possenti

Gregorio

Gerosa

et al. 2018

Numer Methods Biomed Eng

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“…Low-acceleration oscillations of the head can also induce mild brain trauma [3]. Additionally, diffuse axonal injury (DAI) is considered as one of the most common types of traumatic brain injury, and has been found to occur when the strain rates exceed 10 s -1 [4].The mechanical properties of brain plays an important role when head injuries are analysed, such as brain swelling [5], cortical folding [6] and hydrocephalus [7]. The symptoms of brain injuries can appear immediately or several weeks later.…”

Section: Introductionmentioning

confidence: 99%

Frequency dependent viscoelastic properties of porcine brain tissue

Shepherd

Espino

2020

Journal of the Mechanical Behavior of Biomedical Materials

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“…The WinTest DMA software calculated storage (E ' ) and loss (E '' ) modulus by converting the relevant stiffness and phase data through a shape factor (S) as shown in Eqs. (1) and (2). The shape factor for cylindrical specimens was calculated from Eq.…”

Section: Dynamic Mechanical Analysis Frequency Sweepmentioning

confidence: 99%

“…Computational simulations of human brain tissue have emerged with progress in brain mechanical investigations over the past decades [1]. Modeling is a promising platform that can be applied to predict brain mechanics [2] and develop brain injury criteria [3].…”

Section: Introductionmentioning

confidence: 99%