scatterBrains:一个人类头部模型和伴侣光极位置的开放数据库,用于实现现实的蒙特卡洛光子模拟
Melissa M Wu1,2, Roarke Horstmeyer1, Stefan A Carp2
1Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States.
Journal of biomedical optics
|October 9, 2023
概括
本研究引入了一个开源数据库,用于近红外光谱和分散相关性光谱的蒙特卡洛模拟的现实头模型. 这个资源简化了为NIRS/DCS研究创建准确的光传输模拟.
科学领域:
- 生物医学光学 生物医学光学
- 医疗成像医学成像
- 计算机建模 计算建模
背景情况:
- 蒙特卡洛 (MC) 模拟对于近红外光谱学 (NIRS) 和分散相关性光谱学 (DCS) 至关重要,但依赖于可访问的,现实的组织模型.
- 目前的局限性包括多样化,复杂的头模型的稀缺性和光极放置所需的手工努力,阻碍了广泛采用和大规模模拟,如机器学习培训.
研究的目的:
- 为NIRS/DCS模拟创建一个解剖学和光学现实的头部模型的开源数据库.
- 开发一个用户友好的软件管道来准备这些模型用于基于网格的MC模拟.
- 为NIRS/DCS社区提高先进模拟工具的可访问性.
主要方法:
- 从分段T1加权MRI扫描生成了16个解剖学头部模型.
- 将模型转换为四面体网状体积,每个模型大约有800个头皮表面位置.
- 开发了定制源和探测器放置的管道,并为MC模拟设置提供了指导.
主要成果:
- 创建了一个免费可用的数据库,包含 16 个现实的头部模型,分布式的 optode 位置.
- 开发并共享一个相关的软件管道,用于基于网状的MC模拟准备.
- 所有资源都可以通过 Github 上的 scatterBrains 项目访问.
结论:
- 分享资源为NIRS/DCS社区使用现实的头部几何体进行MC模拟.
- 该倡议旨在民主化对基于MRI的头部模型和虚拟 optode 放置的访问.
- 欢迎对数据库的贡献,以促进社区驱动的发展.
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