A multicore parallel algorithm for multiscale modelling of an entire human blood circulation network
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866929300106641408 |
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| author | Liu, Jiawei Suito, Hiroshi |
| author_facet | Liu, Jiawei Suito, Hiroshi |
| contents | The presented multi-scale, closed-loop blood circulation model includes arterial, venous, and portal venous systems, heart-pulmonary circulation, and micro-circulation in capillaries. One-dimensional models simulate large blood vessel flow, whereas zerodimensional models are used for simulating blood flow in vascular subsystems corresponding to peripheral arteries and organs. Transmission conditions at bifurcation and confluence are solved using Riemann invariants. Blood circulation simulation in the portal venous system and related organs (liver, stomach, spleen, pancreas, intestine) is particularly targeted. Those organs play important roles in metabolic system dynamics. The proposed efficient parallel algorithms for multicore environments solve these equations much faster than serial computations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_01680 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A multicore parallel algorithm for multiscale modelling of an entire human blood circulation network Liu, Jiawei Suito, Hiroshi Medical Physics Numerical Analysis The presented multi-scale, closed-loop blood circulation model includes arterial, venous, and portal venous systems, heart-pulmonary circulation, and micro-circulation in capillaries. One-dimensional models simulate large blood vessel flow, whereas zerodimensional models are used for simulating blood flow in vascular subsystems corresponding to peripheral arteries and organs. Transmission conditions at bifurcation and confluence are solved using Riemann invariants. Blood circulation simulation in the portal venous system and related organs (liver, stomach, spleen, pancreas, intestine) is particularly targeted. Those organs play important roles in metabolic system dynamics. The proposed efficient parallel algorithms for multicore environments solve these equations much faster than serial computations. |
| title | A multicore parallel algorithm for multiscale modelling of an entire human blood circulation network |
| topic | Medical Physics Numerical Analysis |
| url | https://arxiv.org/abs/2404.01680 |