1990
DOI: 10.1111/j.1749-6632.1990.tb15103.x
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Fractal Branchings: The Basis of Myocardial Flow Heterogeneities?

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Cited by 63 publications
(45 citation statements)
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“…First, two fundamentally constructed structure-structure scaling laws, volume-diameter (equation (2.1)) and resistance (equation (C 2)), were validated for measured morphometric vascular trees (here and in the study of Huo & Kassab [37]). The premise for the derivation of these scaling laws is that morphometric vascular trees are fractal-like, which obey self-similarity of form, as confirmed by experimental observations from earlier studies [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] (i.e. similar branching ratios in each generation).…”
Section: Physiological Basis Of Scaling Laws In a Vascular Treementioning
confidence: 62%
“…First, two fundamentally constructed structure-structure scaling laws, volume-diameter (equation (2.1)) and resistance (equation (C 2)), were validated for measured morphometric vascular trees (here and in the study of Huo & Kassab [37]). The premise for the derivation of these scaling laws is that morphometric vascular trees are fractal-like, which obey self-similarity of form, as confirmed by experimental observations from earlier studies [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] (i.e. similar branching ratios in each generation).…”
Section: Physiological Basis Of Scaling Laws In a Vascular Treementioning
confidence: 62%
“…Studies using artificial networks of vessels based on the known pattern of vessel branching indicate that this self-similarity arises from the dichotomous branching of vessels according to simple recursion rules. 21,22 Heterogeneity of flow has important implications for the measurement of flows in the myocardium. The response of the whole heart to a submaximal perturbation (such as hypoxia) can be misleading, because it will include both responding and nonresponding regions; reliable correlations can be drawn only from the use of sufficiently small tissue samples.23 Clinically, this represents a problem for defining an adequate average flow, eg, determining the adequacy of coronary flow in a patient from a spatially averaged sample.…”
Section: Heterogeneity In the Coronary Microcirculationmentioning
confidence: 99%
“…The model included multiple, parallel flow pathways, identical except for their flow, to describe the effects of regional flow heterogeneity (19). The distribution of flow in the multiple pathways of the model was based on a fractional extrapolation of the regional flow heterogeneity observed by using microspheres in the hearts of normal sheep and baboons (20). The observed input in the left ventricular blood pool, C in (t), is dispersed and delayed during transit through large conduit vessels with transport function h LV , so that the input to the ROI is given by C LV (t) = C in (t) * h LV , where the asterisk denotes convolution.…”
mentioning
confidence: 99%