Literature DB >> 2228863

Fractal properties of pulmonary blood flow: characterization of spatial heterogeneity.

R W Glenny1, H T Robertson.   

Abstract

The heterogeneity of pulmonary blood flow was examined using a fractal analytic procedure, and the results were compared with the traditional gravitational model of flow distribution. 99mTc-labeled macroaggregate was injected intravenously at functional residual capacity in six supine anesthetized dogs. The lungs were fixed in situ and sliced in transverse sections. The slices were imaged on a planar gamma camera, and a three-dimensional array of blood flow measurements was reconstructed for each lung. Fractal analysis was used to examine the spatial heterogeneity or RDs (relative dispersion = SD/mean) as a function of the number of pieces into which the flow array was subdivided. RDs was fractal and could be characterized by a fractal dimension (Ds) of 1.09 +/- 0.02, where a Ds of 1.0 reflects homogeneous flow and 1.5 indicates a random flow distribution. The data fit the fractal model exceptionally well with an average r = 0.98. RDs was examined in gravitational and isogravitational planes and as expected was greatest in the gravitational direction. However, the difference was small, suggesting that gravitation plays a secondary role to an underlying process producing heterogeneity. Within the limits of resolution attained by this study (piece volumes greater than 0.25 cm3), the heterogeneity of pulmonary blood flow is well characterized by a fractal model.

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Year:  1990        PMID: 2228863     DOI: 10.1152/jappl.1990.69.2.532

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  34 in total

1.  Muscle fractal vascular branching pattern and microvascular perfusion heterogeneity in endurance-trained and untrained men.

Authors:  Kari K Kalliokoski; Tom A Kuusela; Marko S Laaksonen; Juhani Knuuti; Pirjo Nuutila
Journal:  J Physiol       Date:  2003-01-15       Impact factor: 5.182

2.  Assessing potential errors of MRI-based measurements of pulmonary blood flow using a detailed network flow model.

Authors:  K S Burrowes; R B Buxton; G K Prisk
Journal:  J Appl Physiol (1985)       Date:  2012-04-26

3.  Ventilation-perfusion distribution in normal subjects.

Authors:  Kenneth C Beck; Bruce D Johnson; Thomas P Olson; Theodore A Wilson
Journal:  J Appl Physiol (1985)       Date:  2012-07-05

4.  Giles f. Filley lecture. Complex systems.

Authors:  Ary L Goldberger
Journal:  Proc Am Thorac Soc       Date:  2006-08

Review 5.  Applications of fractal analysis to physiology.

Authors:  R W Glenny; H T Robertson; S Yamashiro; J B Bassingthwaighte
Journal:  J Appl Physiol (1985)       Date:  1991-06

Review 6.  Imaging for lung physiology: what do we wish we could measure?

Authors:  H Thomas Robertson; Richard B Buxton
Journal:  J Appl Physiol (1985)       Date:  2012-05-10

7.  Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.

Authors:  Jeongeun Hwang; Yeon-Mok Oh; Minho Lee; Seunghyun Choi; Joon Beom Seo; Sang Min Lee; Namkug Kim
Journal:  Eur Radiol       Date:  2018-06-29       Impact factor: 5.315

8.  Computational modeling of airway and pulmonary vascular structure and function: development of a "lung physiome".

Authors:  Merryn Tawhai; A Clark; G Donovan; K Burrowes
Journal:  Crit Rev Biomed Eng       Date:  2011

9.  The interdependent contributions of gravitational and structural features to perfusion distribution in a multiscale model of the pulmonary circulation.

Authors:  A R Clark; M H Tawhai; E A Hoffman; K S Burrowes
Journal:  J Appl Physiol (1985)       Date:  2011-02-03

10.  Hypoxic pulmonary vasoconstriction does not contribute to pulmonary blood flow heterogeneity in normoxia in normal supine humans.

Authors:  T J Arai; A C Henderson; D J Dubowitz; D L Levin; P J Friedman; R B Buxton; G K Prisk; S R Hopkins
Journal:  J Appl Physiol (1985)       Date:  2008-12-04
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