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A new scheme for hierarchical classification of anastomosing vessels
A S Popel1, I P Torres Filho, P C Johnson
1Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205.
International Journal of Microcirculation, Clinical and Experimental
|March 1, 1988
Summary
A novel topological scheme classifies vessels in networks based on interconnections, not size. This method reveals segment length distributions and loop characteristics in the cat sartorius muscle arteriolar network.
Area of Science:
- Physiology
- Biomedical Engineering
- Network Science
Background:
- Anastomosing vascular networks are complex and challenging to analyze.
- Existing classification methods often rely on vessel dimensions, which can be limiting.
Purpose of the Study:
- To introduce a new hierarchical classification scheme for vessels in anastomosing networks.
- To apply this scheme to the arteriolar network of the cat sartorius muscle.
- To analyze vascular segment lengths and loop properties within this network.
Main Methods:
- Developed a classification scheme based on topological information (vessel interconnection patterns).
- Applied the scheme to the anastomosing arteriolar network in cat sartorius muscle.
- Classified individual vascular segments and vascular loops.
- Determined frequency distributions of segment lengths and calculated loop area, perimeter, and segment count.
Main Results:
- Successfully classified vascular segments and loops using the topological scheme.
- Determined the frequency distribution of segment lengths for each hierarchical order.
- Characterized vascular loops by their area, perimeter, and number of segments.
Conclusions:
- The proposed topological classification scheme provides a robust method for analyzing complex vascular networks.
- This approach offers new insights into the structural organization and properties of arteriolar networks.
- The findings contribute to a better understanding of vascular architecture and function.