Introduction and advantage analysis of the stepwise method for the construction of vascular trees.
- Author:
Yan ZHANG
1
;
Haiwei XIE
;
Kai ZHU
Author Information
1. School of Mechanical Engineering, Tianjin University of Commerce, Tianjin Key Laboratory of Refrigeration Technology, Tianjin 300134, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Arteries;
anatomy & histology;
physiology;
Blood Pressure;
physiology;
Computer Simulation;
Hemodynamics;
physiology;
Humans;
Imaging, Three-Dimensional;
Models, Cardiovascular;
Vascular Resistance;
physiology
- From:
Journal of Biomedical Engineering
2010;27(4):902-906
- CountryChina
- Language:Chinese
-
Abstract:
A new method for constructing the model of vascular trees was proposed in this paper. By use of this method, the arterial trees in good agreement with the actual structure could be grown. In this process, all vessels in the vascular tree were divided into two groups: the conveying vessels, and the delivering branches. And different branches could be built by different ways. Firstly, the distributing rules of conveying vessels were ascertained by use of measurement data, and then the conveying vessels were constructed in accordance to the statistical rule and optimization criterion. Lastly, delivering branches were modeled by constrained constructive optimization (CCO) on the conveying vessel-trees which had already been generated. In order to compare the CCO method and stepwise method proposed here, two 3D arterial trees of human tongue were grown with their vascular tree having a special structure. Based on the corrosion casts of real arterial tree of human tongue, the data about the two trees constructed by different methods were compared and analyzed, including the averaged segment diameters at respective levels, the distribution and the diameters of the branches of first level at respective directions. The results show that the vascular tree built by stepwise method is more similar to the true arterial of human tongue when compared against the tree built by CCO method.
