Numerical simulations rely on constructing accurate and detailed models to produce reliable results - a task that is often challenging. This task becomes notably more difficult when the model is of the human brain. We create an anatomically comprehensive hexahedral mesh of the human brain using an open-source digital brain atlas. Digital atlases are valuable tools currently used by medical professionals, medical students, and researchers for gathering, presenting, and discovering knowledge about the human brain. We demonstrate that the atlas can be used to efficiently create an accurate and detailed hexahedral finite element mesh of the brain for scientific computing. We present two case studies. The first case study constructs a biomechanical model of the brain to compute brain deformations and predict traumatic brain injury risk due to violent impact. In the second case study, we construct a bioelectrical model of the brain to solve the electroencephalography (EEG) forward problem, a frequent simulation process used in electrophysiology to study electromagnetic fields generated by the nervous system. We demonstrate efficient and accurate model construction using the meshed anatomical brain atlas, as well as emphasize the importance of effective communication and contextual analysis of results for enabling multi-disciplinary scientific computing research.

翻译：数值模拟依赖于构建精确且详细的模型以产生可靠结果——这一任务通常具有挑战性。当模型对象为人脑时，该任务变得尤为困难。本研究利用开源数字脑图谱创建了一个解剖学上全面的人脑六面体网格。数字图谱是目前医学专业人员、医学生及研究人员用于收集、呈现和探索人脑知识的重要工具。我们证明该图谱可用于高效创建精确详细的六面体有限元脑网格以支持科学计算。我们呈现了两个案例研究：首个案例构建了大脑生物力学模型，用于计算脑组织形变并预测暴力冲击导致的创伤性脑损伤风险；第二个案例构建了大脑生物电模型以求解脑电图正问题——这是电生理学中研究神经系统产生电磁场的常用模拟过程。我们展示了利用网格化解剖脑图谱进行高效精确模型构建的方法，并强调了有效的结果交流与情境分析对于推动跨学科科学计算研究的重要性。