2023 Fiscal Year Final Research Report
Development of a high-precision and high-speed simulation method for respiratory airflow
| Project/Area Number |
20K11852
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60100:Computational science-related
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| Research Institution | Yamaguchi University |
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Principal Investigator |
Chen Xian 山口大学, 大学院創成科学研究科, 教授 (70313012)
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| Co-Investigator(Kenkyū-buntansha) |
平野 綱彦 山口大学, 医学部附属病院, 准教授 (00382333)
Jiang Fei 山口大学, 大学院創成科学研究科, 准教授 (60734358)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 呼吸シミュレーション / 生体力学 / 流体構造連成解析 / 有限要素法 / 格子ボルツマン法 |
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| Outline of Final Research Achievements |
We developed a high-precision virtual structure method for coupling bronchial deformation analysis using the finite element method and bronchial airflow analysis using the lattice Boltzmann method. This method is suitable for parallel calculation, and high calculation efficiency was achieved by parallel implementation on a GPGPU. For the construction of bronchial model, we proposed an automatic detection algorithm and developed a a high-speed method for constructing voxel mesh. Furthermore, we performed fluid-structure interaction analysis for the bronchi, airflow analysis inside the bronchioles, and airflow analysis inside a porous medium for the fine structure of the lung parenchyma, and developed a high-precision multi-scale airflow analysis method. We also analyzed the relationship between the results of patient specific morphological analysis of the diaphragmand respiratory physiological data, and established an approach to develop an index for evaluating respiratory function.
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| Free Research Field |
計算生体力学
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| Academic Significance and Societal Importance of the Research Achievements |
並列計算により臨床上実用的高速気管支流体構造連成解析、細気管支・肺胞の階層性・区画性を反映した肺実質微細構造気流解析、3D気管支流体構造連成解析・0D肺実質微細構造気流解析・1D気管支気流解析を連結するマルチスケール気流解析を実現することにより、これまでの枠組みを超えた呼吸系気流シミュレーション手法が生まれ、さらに胸郭・肺変形シミュレーション手法と統合することにより、呼吸過程における生体力学現象を解明できる呼吸系生体力学シミュレーションシステムを構築でき、個々人の呼吸系疾患の診断と治療（個別化医療）を支援する強力な手段の創出につながり、呼吸器疾患の診断と治療における革新をもたらす可能性がある。
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