openBF:开源有限体积一维血流求解器。

IF 2.3 4区 医学 Q3 BIOPHYSICS
Ivan Benemerito, Alessandro Melis, Antoine Wehenkel, Alberto Marzo
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引用次数: 0

摘要

计算模拟在心血管生物力学中被广泛采用,因为它们能够生成生理数据,而这些数据是无法用非侵入式方法测量的。 目的 本研究介绍了用于模拟心血管系统血液动力学的计算库 openBF。方程通过有限体积法求解,代码用 Julia 编写。主要结果 在从单个动脉到虚拟受试者群体的所有尺度上,openBF 的解决方案都与现有软件的解决方案显示出极佳的一致性。对于报告的模拟,openBF 所需的计算时间很短。 意义 openBF 易于安装、使用,可在多种平台和架构上部署,并能在短时间内准确预测血液动力学。它在 GitHub 上得到了积极的维护和开源,有利于生物力学社区的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
openBF: an open-source finite volume 1D blood flow solver.

Computational simulations are widely adopted in cardiovascular biomechanics because of their capability of producing physiological data otherwise impossible to measure with non-invasive modalities. Objective This study presents openBF, a computational library for simulating the blood dynamics in the cardiovascular system. Approach openBF adopts a 1-D viscoelastic representation of the arterial system, and is coupled with 0-D windkessel models at the outlets. Equations are solved by means of the finite-volume method and the code is written in Julia. We assess its predictions by performing a multiscale validation study on several domains available from the literature. Main results At all scales, which range from individual arteries to a population of virtual subjects, openBF's solution show excellent agreement with the solutions from existing software. For reported simulations, openBF requires low computational times. Significance openBF is easy to install, use, and deploy on multiple platforms and architectures, and gives accurate prediction of blood dynamics in short time-frames. It is actively maintained and available open-source on GitHub, which favours contributions from the biomechanical community.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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