Suppr超能文献

基于有限元的脑刺激中的电场计算:用于生成和使用精确个体头部模型的优化处理流程。

Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models.

机构信息

High-Field Magnetic Resonance Centre, MPI for Biological Cybernetics, Tübingen, Germany.

出版信息

Hum Brain Mapp. 2013 Apr;34(4):923-35. doi: 10.1002/hbm.21479. Epub 2011 Nov 23.

Abstract

The need for realistic electric field calculations in human noninvasive brain stimulation is undisputed to more accurately determine the affected brain areas. However, using numerical techniques such as the finite element method (FEM) is methodologically complex, starting with the creation of accurate head models to the integration of the models in the numerical calculations. These problems substantially limit a more widespread application of numerical methods in brain stimulation up to now. We introduce an optimized processing pipeline allowing for the automatic generation of individualized high-quality head models from magnetic resonance images and their usage in subsequent field calculations based on the FEM. The pipeline starts by extracting the borders between skin, skull, cerebrospinal fluid, gray and white matter. The quality of the resulting surfaces is subsequently improved, allowing for the creation of tetrahedral volume head meshes that can finally be used in the numerical calculations. The pipeline integrates and extends established (and mainly free) software for neuroimaging, computer graphics, and FEM calculations into one easy-to-use solution. We demonstrate the successful usage of the pipeline in six subjects, including field calculations for transcranial magnetic stimulation and transcranial direct current stimulation. The quality of the head volume meshes is validated both in terms of capturing the underlying anatomy and of the well-shapedness of the mesh elements. The latter is crucial to guarantee the numerical robustness of the FEM calculations. The pipeline will be released as open-source, allowing for the first time to perform realistic field calculations at an acceptable methodological complexity and moderate costs.

摘要

需要进行现实的电场计算,以更准确地确定人脑非侵入性刺激的作用区域。然而,使用数值技术(如有限元方法)在方法上很复杂,从创建精确的头部模型到将模型集成到数值计算中都存在问题。这些问题迄今为止极大地限制了数值方法在脑刺激中的更广泛应用。我们引入了一种优化的处理管道,允许从磁共振图像自动生成个体化的高质量头部模型,并在基于有限元方法的后续场计算中使用这些模型。该管道首先提取皮肤、颅骨、脑脊液、灰质和白质之间的边界。然后,提高生成表面的质量,从而可以创建最终可用于数值计算的四面体体积头部网格。该管道将神经影像学、计算机图形学和有限元计算的现有(主要是免费)软件集成并扩展到一个易于使用的解决方案中。我们在六个受试者中演示了该管道的成功使用,包括经颅磁刺激和经颅直流电刺激的场计算。头部体积网格的质量在捕获基础解剖结构和网格元素的良好形状方面都得到了验证。后者对于保证有限元计算的数值稳健性至关重要。该管道将作为开源发布,首次允许以可接受的方法复杂性和适度成本进行现实的场计算。

相似文献

6

引用本文的文献

6
Group optimization methods for dose planning in tES.经颅电刺激剂量规划中的组优化方法
J Neural Eng. 2025 Aug 14;22(4):046045. doi: 10.1088/1741-2552/adf887.

本文引用的文献

3
Modeling of the human skull in EEG source analysis.在 EEG 源分析中对人类颅骨进行建模。
Hum Brain Mapp. 2011 Sep;32(9):1383-99. doi: 10.1002/hbm.21114. Epub 2010 Aug 5.
7
On tickling brains to investigate minds.挠大脑痒痒以探究心智。
Cortex. 2009 Oct;45(9):1021-4. doi: 10.1016/j.cortex.2009.05.001. Epub 2009 May 18.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验