Abstract
Fractals provide a basis for analyzing recursive processes in biology, such as the growth of arborizing networks in the circulatory system, airways or glandular ducts. Coronary branching patterns appear fractal; constructing artificial vascular networks from the anatomical statistics can be done in various ways. Using a simple avoidance algorithm to position successive segments of an adult coronary arterial system correctly provides a priori prediction of five physiological features: (1) pressure profiles, (2) spatial heterogeneity in regional flows, (3) fractal dimension for the self-similarity, (4) spatial self-similar autocorrelation in flows, (5) fractal temporal washout from vascular indicators with power law exponent of —3. The success in explaining the physiology from the anatomy does not explain why the anatomy itself explains so much: growth processes of a variety of sorts may lead to similar results through a combination of growth followed by remodeling to fine-tune the relationship between tissue demands and vascular supply of oxygen and nutrients. The remodeling may be even more important than the original growth processes.
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Bassingthwaighte, J.B., Beard, D.A., King, R.B. (1998). Fractal Regional Myocardial Blood Flows: The Anatomical Basis. In: Losa, G.A., Merlini, D., Nonnenmacher, T.F., Weibel, E.R. (eds) Fractals in Biology and Medicine. Mathematics and Biosciences in Interaction. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8936-0_8
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DOI: https://doi.org/10.1007/978-3-0348-8936-0_8
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