Simultaneous self-organization of arterial and venous networks driven by the physics of global power optimization
James P. Hague

TL;DR
This paper introduces a physics-based method to determine the globally optimal, non-intersecting arterial and venous networks for tissue growth and bioprinting, based on power minimization principles.
Contribution
It presents a novel approach for simultaneously optimizing arterial and venous vasculatures considering power costs and intersection penalties, applicable to tissue engineering.
Findings
Optimal vascular structures depend on bifurcation and metabolic parameters.
The method predicts vessel routes and tortuosity for different tissue shapes.
Potential applications include organ blood flow modeling and bioprinting vasculatures.
Abstract
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 networks in order to understand the natural vasculatures that originate from evolution (2) can design vasculature for 3D printing of cultured tissues, meats, organoids and organs. I present a method for determining the globally optimal structure of interlocking arterial and venous (arteriovenous) networks. The core physics is comprised of the minimization of total power associated with the whole vascular network, with penalties to stop arterial and venous segments from intersecting. Specifically, the power needed for Poiseuille flow through vessels and the metabolic power cost for blood maintenance are optimized. Simultaneous determination of both…
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Taxonomy
Topics3D Printing in Biomedical Research
