Evaluation of Numerical Techniques for Solving the Current Injection Problem in Biological Tissues.
Evaluation of Numerical Techniques for Solving the Current Injection Problem in Biological Tissues.
复制标题
解决当前生物组织注射问题的数值技术评估。
DOI：
10.1109/isbi.2016.7493405
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Brooks,DanaH
中科院分区：
文献类型：
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作者：
Hyde,DamonE;Dannhauer,Moritz;Warfield,SimonK;MacLeod,Rob;Brooks,DanaH
人体头部电场的精确计算建模在研究或影响大脑功能的临床研究中变得重要。虽然现有的数值方法已针对具有已知闭合形式解的简单几何形状进行了评估，但尚未研究这些方法在更复杂几何形状中之间的关系。在这里，我们比较了三种最常用的生物电建模方法：有限元法（FEM），有限差分法（FDM）和边界元法（BEM）。使用各向同性和各向异性的电导率分布，我们构建和比较一个现实的头部几何形状的生物电模型。我们的研究结果表明，FEM和FDM都能够准确地模拟大脑中的电压，而BEM的计算结果显着更大的误差，由于增加的简单性和隐式模型假设。
Accurate computational modeling of electric fields in the human head has become important in clinical research to study or influence brain functionality. While existing numerical approaches have been evaluated against simple geometries with known closed form solutions, the relationship between these approaches in more complex geometries has not been studied. Here, we compare the three most commonly used approaches for bioelectric modeling: the finite element method (FEM), the finite difference method (FDM), and the boundary element method (BEM). Using both isotropic and anisotropic conductivity distributions, we construct and compare bioelectric models for a realistic head geometry. Our results suggest that both FEM and FDM are capable of accurately model voltages in the brain, while computations from BEM result in significantly larger errors, due to the increased simplicity and implicit model assumptions.