Abstract
In this chapter we attempt to relate the coronary vascular anatomy, a system of parallel paths with differing transit times, to regional flow distributions, to transit time distribution, and to measures of regional physiological functions. To do this we explore some approaches to algorithmic vascular growth. “Growth” from embryonic beginnings through development of the heart is not what we treat here; rather we try to capture the essence of the adult form of the vascular network in algorithmic form in order to see how well its behavior matches that of the real system. This first part of the exercise, instead of following the dimensional and physiological changes that occur from embryonic to adult life, is an attempt to determine whether or not forming a network model from a set of statistically defined vessels, and positioning them within the contours of the adult heart, produces a network which shows appropriate physiological behavior.
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Bassingthwaighte, J.B., Beard, D.A., Li, Z., Yipintsoi, T. (1996). Is the Fractal Nature of Intraorgan Spatial Flow Distributions Based on Vascular Network Growth or on Local Metabolic Needs?. In: Little, C.D., Mironov, V., Sage, E.H. (eds) Vascular Morphogenesis: In Vivo, In Vitro, In Mente. Cardiovascular Molecular Morphogenesis. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-4156-0_16
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DOI: https://doi.org/10.1007/978-1-4612-4156-0_16
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