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相关论文: Functional optimization of the arterial network

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Flux of rigid or soft particles (such as drops, vesicles, red blood cells, etc.) in a channel is a complex function of particle concentration, which depends on the details of induced dissipation and suspension structure due to hydrodynamic…

Highly-optimized complex transport networks serve crucial functions in many man-made and natural systems such as power grids and plant or animal vasculature. Often, the relevant optimization functional is non-convex and characterized by…

生物物理 · 物理学 2016-09-23 Henrik Ronellenfitsch , Eleni Katifori

Within animals, oxygen exchange occurs within networks containing potentially billions of microvessels that are distributed throughout the animal's body. Innovative imaging methods now allow for mapping of the architecture and blood flows…

定量方法 · 定量生物学 2017-09-28 Shyr-Shea Chang , Marcus Roper

Understanding of vascular organization is a long-standing problem in quantitative biology and biophysics and is essential for the growth of large cultured tissues. Approaches are needed that (1) make predictions of optimal arteriovenous…

组织与器官 · 定量生物学 2023-08-25 James P. Hague

We propose a hemodynamic reduced-order model bridging macroscopic and meso-scopic blood flow circulation scales from arteries to capillaries. In silico tree like vascular geometries, mathematically described by graphs, are synthetically…

医学物理 · 物理学 2019-07-29 Olivier Adjoua , Stéphanie Pitre-Champagnat , Didier Lucor

Transport networks are typically optimized, either by evolutionary pressures in biological systems or by human design in engineered structures. In the case of systems such as the animal vasculature, the transport of fluids is hindered by…

生物物理 · 物理学 2023-02-27 Sean Fancher , Eleni Katifori

Detection and monitoring of patients with pulmonary hypertension, defined as mean blood pressure in the main pulmonary artery above 25 mmHg, requires a combination of imaging and hemodynamic measurements. This study demonstrates how to…

定量方法 · 定量生物学 2020-02-21 Megan J. Chambers , Mitchel J. Colebank , M Umar Qureshi , Rachel Clipp , Mette S. Olufsen

It was hypothesized that the structures of biological transport networks are the result of either energy consumption or adaptation dynamics. Although approaches based on these hypotheses can produce optimal network and form loop structures,…

生物物理 · 物理学 2024-09-13 Yawei Wang , Zilu Qin , Yubo Fan

Biological transport networks are highly optimized structures that ensure power-efficient distribution of fluids across various domains, including animal vasculature and plant venation. Theoretically, these networks can be described as…

生物物理 · 物理学 2025-08-01 Albert Alonso , Lars Erik J. Skjegstad , Julius B. Kirkegaard

Does the complex processes of angiogenesis during organism development ultimately lead to a near optimal coronary vasculature in the organs of adult mammals? We examine this hypothesis using a powerful and universal method, built on…

生物物理 · 物理学 2016-01-18 Jonathan Keelan , Emma M. L. Chung , James P. Hague

Transport networks are crucial for the functioning of natural and technological systems. We study a mathematical model of vascular network adaptation, where the network structure dynamically adjusts to changes in blood flow and pressure.…

适应与自组织系统 · 物理学 2023-06-01 Konstantin Klemm , Erik Andreas Martens

As nutrients travel through microcirculation and are absorbed, their availability continuously decreases. However, a uniform nutrient distribution is critical, as it prevents tissue death in poorly supplied areas. How, then, do vascular…

组织与器官 · 定量生物学 2024-11-18 Georgios Gounaris , Mija Jovchevska , Miguel Ruiz Garcia , Eleni Katifori

We examine the role of complexity on arterial tree structures, determining globally optimal vessel arrangements using the Simulated AnneaLing Vascular Optimization (SALVO) algorithm, which we have previously used to reproduce features of…

组织与器官 · 定量生物学 2020-07-15 Jonathan Keelan , James P. Hague

Understanding vascular adaptation, namely what drives veins to shrink or grow, is key for the self-organization of flow networks and their optimization. From the top-down principle of minimizing flow dissipation at a fixed metabolic cost…

软凝聚态物质 · 物理学 2023-03-06 Sophie Marbach , Noah Ziethen , Karen Alim

It has been shown that geometrical, structural properties vary along the length of the aortic arch. There is a scarcity of studies focus on the variation in the vessel wall thickness of aortic arch. The central premise of this study is that…

组织与器官 · 定量生物学 2018-06-21 Xiaochang Leng , Xingjian Liu , Will Toress , Tarek Shazly

The cerebral arteries are difficult to reproduce from first principles, featuring interwoven territories, and intricate layers of grey and white matter with differing metabolic demand. The aim of this study was to identify the ideal…

医学物理 · 物理学 2019-07-24 Jonathan Keelan , Emma M. L. Chung , James P. Hague

The branching behavior of vascular trees is often characterized using Murray's law. We investigate its validity using synthetic vascular trees generated under global optimization criteria. Our synthetic tree model does not incorporate…

生物物理 · 物理学 2024-10-10 Etienne Jessen , Marc C. Steinbach , Charlotte Debbaut , Dominik Schillinger

A model is proposed to minimize the total volume of the main distribution networks of fluids in organs such as the kidney and the lung. A consequence of the minimization analysis is that the optimal overall form of the organs is a modified…

组织与器官 · 定量生物学 2007-05-23 Walton R. Gutierrez

The equivalence of two optimality principles leading to Murray's law has been discussed. The first approach is based on minimization of biological work needed for maintaining the blood flow through the vessels at required level. The second…

adap-org · 物理学 2007-05-23 I. A. Lubashevsky , V. V. Gafiychuk

Self-regulation of living tissue as an example of self-organization phenomena in active fractal systems of biological, ecological, and social nature is under consideration. The characteristic feature of these systems is the absence of any…

组织与器官 · 定量生物学 2008-12-02 Wassily Lubashevsky , Ihor Lubashevsky , Reinhard Mahnke
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