Computational simulations using methods such as the finite element (FE) method rely on high-quality meshes for achieving accurate results. This study introduces a method for creating a high-quality hexahedral mesh using the Open Anatomy Project's brain atlas. Our atlas-based FE hexahedral mesh of the brain mitigates potential inaccuracies and uncertainties due to segmentation - a process that often requires input of an inexperienced analyst. It accomplishes this by leveraging existing segmentation from the atlas. We further extend the mesh's usability by forming a two-way correspondence between the atlas and mesh. This feature facilitates property assignment for computational simulations and enhances result analysis within an anatomical context. We demonstrate the application of the mesh by solving the electroencephalography (EEG) forward problem. Our method simplifies the mesh creation process, reducing time and effort, and provides a more comprehensive and contextually enriched visualisation of simulation outcomes.

翻译：使用有限元（FE）方法等计算模拟方法需依赖高质量网格以实现精准结果。本研究提出一种利用开放解剖项目脑图谱构建高质量六面体网格的方法。基于图谱的脑部有限元六面体网格通过利用图谱现有分割结果，可降低因分割过程（通常需经验不足的分析师参与）导致的潜在误差与不确定性。我们进一步通过建立图谱与网格之间的双向对应关系扩展网格的可用性。该特征可为计算模拟中的属性赋值提供便利，并增强解剖学背景下的结果分析能力。我们通过求解脑电图（EEG）正问题演示网格的应用。本方法简化了网格创建流程，减少了时间与精力投入，并为模拟结果提供了更全面、更具背景丰富性的可视化呈现。