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A multi-fractal vascular tree model for characterizing blood flow in cardiovascular system
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  • Open access
  • Published: 27 May 2026

A multi-fractal vascular tree model for characterizing blood flow in cardiovascular system

  • Jing Fu1,2 na1,
  • Xiawen Yang1,2,3 na1,
  • Gaoran Xu4 na1,
  • Yiwei Ding7,
  • Yuanyuan Li1,2,
  • Maochun Li1,2,
  • Ming Yue1,2,
  • Dengzheng Zhang5,
  • Wenlong Xie1,2,
  • Li Li6 &
  • …
  • Juyi Li1,2 

Scientific Reports (2026) Cite this article

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Subjects

  • Cardiology
  • Computational biology and bioinformatics
  • Engineering
  • Mathematics and computing
  • Physiology

Abstract

The cardiovascular system’s hemodynamics is pivotal for tissue oxygen and nutrient delivery. However, accurately characterizing its blood flow characteristics remains a major challenge due to the complex distribution and geometry of the cardiovascular system. This study introduces a novel multi - fractal vascular tree (MFVT) model. By integrating heterogeneous fractal dimensions and scaling laws, considering vessel branching and tortuosity, the model depicts blood flow across various vessels. Formulas for blood flow rates in single vessels, fractal vessel trees, and bundles of fractal vessel trees were derived, along with the analytical expression for cardiovascular system permeability. The model’s reliability was verified via four case studies, with a maximum relative error of less than 5% between theoretical and experimental values. Sensitivity analyses showed that parameters significantly influenced blood flow. For instance, as the maximum diameter of zero-level vessels increased from 0.2 to 4 mm, the flow rate rose notably. When the diameter ratio increased from 0.5 to 0.8, the flow rate also increased, especially at higher pressure differences. An increase in the initial length of zero-level vessels from 5 to 50 mm led to a decrease in the flow rate. These phenomena indicate that blood flow resistance is negatively correlated with vessel diameter and positively correlated with vessel length. This work advances the mechanistic understanding of blood flow distribution and provides a computational tool for studying vascular pathologies.

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Funding

This work was supported by the following funding sources: he Natural Science Foundation of China (82500347), the Natural Science Foundation of Wuhan (2024020801020393), the Hubei Provincial Natural Science Foundation of China (2025AFB236), the Scientific Research Project of the Health Commission of Hubei Province (WJ2025Q093), and the Beijing iGandan Foundation (1082025-LG007) awarded to J.F.; the Hubei Provincial Natural Science Foundation of China (2025AFB206) awarded to W.X.; the Natural Science Foundation of Wuhan (2025020701020259) awarded to G.X.; and the Hubei Key Laboratory of Natural Active Polysaccharides (HKLNAP202508) awarded to X.Y.

Author information

Author notes
  1. Jing Fu, Xiawen Yang and Gaoran Xu contributed equally to this work.

Authors and Affiliations

  1. Department of Pharmacy, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, Hubei, China

    Jing Fu, Xiawen Yang, Yuanyuan Li, Maochun Li, Ming Yue, Wenlong Xie & Juyi Li

  2. Key Laboratory for Molecular Diagnosis of Hubei Province, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, Hubei, China

    Jing Fu, Xiawen Yang, Yuanyuan Li, Maochun Li, Ming Yue, Wenlong Xie & Juyi Li

  3. Hubei Key Laboratory of Natural Active Polysaccharides, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, 430022, Hubei, China

    Xiawen Yang

  4. Department of Thyroid and Breast Surgery, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, Hubei, China

    Gaoran Xu

  5. Department of Pharmacy, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, 437000, Hubei, China

    Dengzheng Zhang

  6. Nuclear Medicine and PET-CT/MR Center, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuchang district, Wuhan, 430060, Hubei, China

    Li Li

  7. Yicheng People’s Hospital, Public Health Sector, Xiangyang, 441400, China, Hubei

    Yiwei Ding

Authors
  1. Jing Fu
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  2. Xiawen Yang
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  3. Gaoran Xu
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  4. Yiwei Ding
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  5. Yuanyuan Li
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  6. Maochun Li
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  7. Ming Yue
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  8. Dengzheng Zhang
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  9. Wenlong Xie
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  10. Li Li
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  11. Juyi Li
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Corresponding authors

Correspondence to Wenlong Xie, Li Li or Juyi Li.

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Competing interests

The authors declare no competing interests.

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Cite this article

Fu, J., Yang, X., Xu, G. et al. A multi-fractal vascular tree model for characterizing blood flow in cardiovascular system. Sci Rep (2026). https://doi.org/10.1038/s41598-026-44408-5

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  • Received: 11 August 2025

  • Accepted: 11 March 2026

  • Published: 27 May 2026

  • DOI: https://doi.org/10.1038/s41598-026-44408-5

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Keywords

  • Cardiovascular system
  • Blood flow
  • Fractal vascular tree
  • Newtonian fluid
  • Permeability
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