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| Research on Capillary Growth Algorithm Based on Heterogeneous Microvascular Trees |
| Huang Wenjie1, Shen Huanghui1, Fang Luping1, Ning Gangmin2, Pan Qing1#* |
1(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
2(Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China) |
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Abstract The microvascular network plays a critical role in the realization of physiological functions in the body, and the research on this topic can offer potential therapeutic directions for repairing damaged microvascular networks. While previous studies have achieved the generation of virtual heterogeneous microvascular trees, the inability of microscopic images to clearly present capillary distributions pose a key challenge in developing capillary growth algorithms that align with natural growth patterns. This study proposed a capillary growth algorithm based on heterogeneous microvascular trees. Using microvascular networks from three rat mesenteries, the capillaries were first removed from the networks, and the independent arteriolar and venular trees were extracted. Subsequently, a terminal sprouting-based capillary growth algorithm was designed and implemented, incorporating a homing mechanism to guide capillary growth and simulate physiological characteristics. Ultimately, through physiological pruning and optimization, a virtual heterogeneous microvascular network was constructed. The study recorded 30 instances of virtual microvascular network generation and conducted comparative analyses of the fractal dimension (FD) and vascular density (VD) between the generated networks and real networks. Results showed a high degree of similarity in spatial complexity and vascular density between the generated and real networks(FD: 1.548±0.025 vs 1.565±0.005, P>0.05,VD: 0.060±0.004 vs 0.059±0.003, P>0.05), validating the algorithm′s rationality in simulating capillary growth. Furthermore, an examination of the spatial distribution of fractal dimensions revealed that the generated networks closely resembled real networks in terms of local complexity distribution. This study provided a novel approach for generating virtual microcirculation networks based on heterogeneous microvascular trees.
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Received: 11 December 2024
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| About author:: #Member, Chinese Society of Biomedical Engineering |
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