2001
DOI: 10.1085/jgp.118.3.267
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Arterial Branching within the Confines of Fractal L-System Formalism

Abstract: Parametric Lindenmayer systems (L-systems) are formulated to generate branching tree structures that can incorporate the physiological laws of arterial branching. By construction, the generated trees are de facto fractal structures, and with appropriate choice of parameters, they can be made to exhibit some of the branching patterns of arterial trees, particularly those with a preponderant value of the asymmetry ratio. The question of whether arterial trees in general have these fractal characteristics is exam… Show more

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Cited by 88 publications
(65 citation statements)
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“…The symbols produced are then interpreted graphically to visualize a geometry encoded by the output L-system string (representing the branching system) (18). A branching L-system is characteristically fractal, with self-similar elements visible at decreasing size scales (38). Parametric L-systems allow branching parameter values (such as branching angles and growth rates) to vary between branches (for example, of different orders or ages), enabling realistic representation of biological structures with nonuniform branching patterns (18).…”
Section: Methodsmentioning
confidence: 99%
“…The symbols produced are then interpreted graphically to visualize a geometry encoded by the output L-system string (representing the branching system) (18). A branching L-system is characteristically fractal, with self-similar elements visible at decreasing size scales (38). Parametric L-systems allow branching parameter values (such as branching angles and growth rates) to vary between branches (for example, of different orders or ages), enabling realistic representation of biological structures with nonuniform branching patterns (18).…”
Section: Methodsmentioning
confidence: 99%
“…This may be due to a combination of normal biological scatter [5] [20], the value of the power law exponent k [4], experimental measurement errors, or intrinsic vascular variability [21]. Some of the variation may relate to pathology in those subjects with diabetic retinopathy.…”
Section: A Theoretical Predictionsmentioning
confidence: 99%
“…This variability may be due to normal biological scatter [4], the values of the power law exponent k [6], experimental measurement errors, the scatter in physiological data [12] or the presence of a multifractal pattern which suggests that the bulk of the scatter is because of vascular design variability [13]. The noticed variations could also be attributed to the fact that some of the used images were of patients with variable grades of diabetic retinopathy, thus their geometrical features could deviate more from the theoretical optimum due to pathological alterations of the applied forces on the retinal vessels.…”
Section: Discussionmentioning
confidence: 99%