Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment

Albors, Carlos; Olivares, Andy L.; Iriart, Xavier; Cochet, Hubert; Mill, Jordi; Cámara, Óscar

doi:10.1007/978-3-031-35302-4_50

Cited by 2 publications

(2 citation statements)

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“…The selection of a 2 cP constant viscosity in our Newtonian CFD simulations was based on estimated apparent viscosities of blood in pulmonary capillaries from several studies (Fung, 1984; Kiani and Hudetz, 1991; Fung, 1997; Grotberg and Romanò, 2023). In selecting the non-Newtonian viscosity model and the corresponding parameters, we followed the approach of Albors et al (2023) who used this model to simulate blood flow in the left atrium. However, it covers a range of viscosity values between 3.5 cP and 56 cP which is above the estimated apparent viscosity in the pulmonary capillaries.…”

Section: Discussionmentioning

confidence: 99%

“…This model describes the apparent viscosity η of a fluid as a function of shear rate γ as follows: where η 0 = 0.056 Pa · s and η ∞ = 0.0035 Pa · s are the viscosity values at zero and infinitely high shear rates, λ = 1.902s is a time constant and n = 0.3568 the power-law index. The parameter values appropriate for blood conditions were adopted from Albors et al (2023).…”

Section: Methodsmentioning

confidence: 99%

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Inference of alveolar capillary network connectivity from blood flow dynamics

Schmid,

Olivares,

Camara

et al. 2024

Preprint

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The intricate structure of the lungs is essential for the gas exchange within the alveolar region. Despite extensive research on the pulmonary vasculature, there are still unresolved questions regarding the connection between capillaries and the vascular tree. A major challenge is obtaining comprehensive experimental data that integrates morphological and physiological aspects. We propose a computational approach that combines data-driven 3D morphological modeling with computational fluid dynamics simulations. This method enables investigating the connectivity of the alveolar capillary network with the vascular tree based on the dynamics of blood flow. We developed 3D sheet-flow models to accurately represent the morphology of the alveolar capillary network and conducted computational fluid dynamics simulations to predict flow velocities and pressure distributions. Our approach focuses on leveraging functional features to identify the most plausible architecture of the system. For given capillary flow velocities and arteriole-to-venule pressure drops, we deduce details about arteriole connectivity. Preliminary connectivity analyses for non-human species indicate that their alveolar capillary network of a single alveolus is linked to at least two arterioles with diameters of 20 μm or a single arteriole with a minimum diameter of 30 μm. Our study provides insights into the structure of the pulmonary microvasculature by evaluating blood flow dynamics. This inverse approach represents a new strategy to exploit the intricate relationship between morphology and physiology, applicable to other tissues and organs. In the future, the availability of experimental data will play a pivotal role in validating and refining the hypotheses analyzed with our computational models.

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