Key result
Applying the least energy principle to mammalian arterial models yielded an optimal radius exponent of 2.33 in elastic models and 2.33 to 3.0 in rigid models, matching physiological data.
The least energy principle provides a theoretical basis for the observed fractal dimensions of mammalian arterial networks.
Supports least-energy optimization in arterial models; extends theoretical basis for fractal networks but leaves open clinical translation.
It was analyzed in normal physiological arteries whether the least energy principle would suffice to account for the radius exponent x. The mammalian arterial system was modeled as two types, the elastic or the rigid, to which Bernoulli's and Hagen-Poiseuille's equations were applied, respectively. We minimized the total energy function E, which was defined as the sum of kinetic, pressure, metabolic and thermal energies, and loss of each per unit time in a single artery transporting viscous incompressible blood. Assuming a scaling exponent α between the vessel radius (r) and length (l) to be 1.0, x resulted in 2.33 in the elastic model. The rigid model provided a continuously changing x from 2.33 to 3.0, which corresponded to Uylings' and Murray's theories, respectively, through a function combining Reynolds number with a proportional coefficient of the l - r relationship. These results were expanded to an asymmetric arterial fractal tree with the blood flow preservation rule. While x in the optimal elastic model accounted for around 2.3 in proximal systemic (r >1 mm) and whole pulmonary arteries (r ≥0.004 mm), optimal x in the rigid model explained 2.7 in elastic-muscular (0.1 < r ≤1 mm) and 3.0 in peripheral resistive systemic arteries (0.004 ≤ r ≤0.1 mm), in agreement with data obtained from angiographic, cast-morphometric, and in vivo experimental studies in the literature. The least energy principle on the total energy basis provides an alternate concept of optimality relating to mammalian arterial fractal dimensions under α = 1.0.
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Nakamura et al. (2014) studied Normal physiological arteries. Least energy principle optimization was evaluated on Radius exponent x. Applying the least energy principle to mammalian arterial models yielded an optimal radius exponent of 2.33 in elastic models and 2.33 to 3.0 in rigid models, matching physiological data.
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