论文标题
扩散MRI一致的电线模型,用于脑电图中各向异性正向问题的有效溶液
Diffusion MRI Consistent Wire Models for Efficient Solutions of the Anisotropic Forward Problem in Electroencephalography
论文作者
论文摘要
表面边界元素方法(BEM)是解决脑电图中远期问题的最常用配方之一,但其经典化身的适用性极大地限于零件均匀介质。然而,由于其复杂的基础微型结构,几个头部组织具有强烈的各向异性。这意味着标准的边界积分制剂过多地简化了头部的电气性能并产生不现实的解决方案,这极大地限制了BEM技术对大脑成像的适用性和影响。通过观察白质中的大脑各向异性是由于存在神经元线样结构引起的,这一贡献解决了这个问题。然后,我们将用于高频问题的众所周知的线积分方程扩展到不完美的进行准静态情况的情况下,我们提出了一个新的混合线/表面/体积积分方程。当应用于多模式磁共振图像与拖拉术结合使用时,这种新方法可以灵活,现实地处理任何头部隔室的电导率各向异性,从而提供高度的准确性和效率。通过对规范和现实的情况情景的数值结果证明了新配方的有益特性及其对脑成像的影响。
The surface Boundary Element Method (BEM) is one of the most commonly employed formulations to solve the forward problem in electroencephalography, but the applicability of its classical incarnations is lamentably limited to piece-wise homogeneous media. Several head tissues, however, are strongly anisotropic due to their complex underlying micro-structure. This implies that standard boundary integral formulations oversimplify the electrical properties of the head and produce unrealistic solutions, something that drastically limits the suitability and impact of BEM technologies to brain imaging. This contribution addresses this issue by observing that the brain anisotropy in the white matter is due to the presence of neuronal wire-like structures. We then extend the well known wire integral equations used for high frequency problems to the imperfectly conducting quasi-static case and we propose a new hybrid wire/surface/volume integral equation. When applied on multimodal magnetic resonance images combined with tractography, this new approach can flexibly and realistically handle the conductivity anisotropy in any head compartment providing high level of accuracy and efficiency. The beneficial properties of the new formulation together with its impact on brain imaging is demonstrated via numerical results on both canonical and realistic case scenarios.