对实时电场建模技术的算法和软件的审查,用于跨磁刺激
Tae Young Park1,2,3, Loraine Franke4, Steve Pieper5
1Bionics Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792 Republic of Korea.
Biomedical engineering letters
|April 22, 2024
概括
本综述涵盖了快速电场 (E-field) 建模算法,用于跨磁刺激 (TMS). 现代技术,包括深度神经网络,可实现实时E-field绘制,以改善脑疾病治疗和神经外科手术.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 计算神经科学是一种神经科学.
背景情况:
- 跨磁刺激 (TMS) 是治疗大脑疾病的关键神经调节技术.
- 精确的电场 (E-field) 建模对于TMS中精确刺激和神经外科规划至关重要.
- 传统的E-Field建模方法是计算密集型的,限制了实时应用.
研究的目的:
- 审查用于实时或近实时TMS E-field建模的现代算法.
- 讨论这些先进的计算技术的优点和局限性.
- 探索集成E-field建模与导航TMS的软件工具.
主要方法:
- 对E场建模的基础表示技术的审查.
- 讨论基于深度神经网络的方法,以加速电子场预测.
- 检查用于实时导航 E-field 地图的软件解决方案.
主要成果:
- 现代算法为TMS电子场建模提供更快的计算时间.
- 深度神经网络显示出准确的,实时的E-field预测的前景.
- 集成软件在临床环境中促进实时导航的E-field映射.
结论:
- 先进的算法对于实现实时TMS应用程序至关重要.
- 深度神经网络代表了TMS E-field建模中的重大进步.
- 将这些模型集成到导航TMS系统中可以提高临床效用.
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