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颅内电极探索癫痫患者的电生理学、MRI 和神经病理学数据的图像配准协议。

An image registration protocol to integrate electrophysiology, MRI and neuropathology data in epileptic patients explored with intracerebral electrodes.

机构信息

Scientific Department, Fondazione IRCCS, Istituto Neurologico C. Besta, Milano, Italy.

Clinical Epileptology and Experimental Neurophysiology Unit, Fondazione IRCCS, Istituto Neurologico C. Besta, Milano, Italy.

出版信息

J Neurosci Methods. 2018 Jun 1;303:159-168. doi: 10.1016/j.jneumeth.2018.03.016. Epub 2018 Mar 27.

DOI:10.1016/j.jneumeth.2018.03.016
PMID:29601885
Abstract

BACKGROUND

Several attempts have been made to coregister in vivo MRI with the histopathology of surgical samples, aiming to validate new MRI biomarkers and improve the detection of epileptogenic lesions. As a further implementation, we propose a method to reconstruct the anatomical localization of the intracerebral electrodes on the histological sections, developing a coregistration protocol to match the in vivo MRI onto the ex vivo MRI obtained from the surgical specimen.

NEW METHOD

Since the ex vivo MRI is natively in geometrical correspondence with histology slices, the goal of the coregistration process is to compute the transform function mapping the clinical MRI space to the ex vivo MRI. Electrodes and leads, identified in CT-MRI, can then be segmented and translated onto the histological slices.

RESULTS

Step-by-step, qualitative visual inspection showed an improved matching of the anatomical structures or boundaries and electrodes positions between the two modalities. The quantitative evaluation of the coregistration protocol reported a mean error ranging between 0.82 and 1.27 mm when a sufficient number of landmarks, particularly in the core of the specimen, were clearly identified.

COMPARISON WITH EXISTING METHODS

Because histology was performed according to ex vivo MRI geometry we chose to transform the in vivo onto the ex vivo MRI, differently from other methods.

CONCLUSIONS

Interesting applications of the method will include correlating the locally-generated pathological electrical activity with the subtle morphological alterations of the tissue, and histologically validating the origin of signal alterations or quantitative parameter variations in MRI studies.

摘要

背景

已经有几次尝试将体内 MRI 与手术样本的组织病理学进行配准,旨在验证新的 MRI 生物标志物并提高致痫病变的检测能力。作为进一步的实施,我们提出了一种方法,即在组织学切片上重建颅内电极的解剖定位,开发一种配准协议,将体内 MRI 与从手术标本获得的离体 MRI 匹配。

新方法

由于离体 MRI 与组织学切片在几何上是对应的,配准过程的目标是计算将临床 MRI 空间映射到离体 MRI 的变换函数。在 CT-MRI 中识别出的电极和导联可以在组织学切片上进行分割和翻译。

结果

逐步进行的定性视觉检查显示,两种模态之间的解剖结构或边界和电极位置的匹配得到了改善。当清楚地识别出足够数量的地标,特别是在标本的核心区域时,对配准协议的定量评估报告了平均误差在 0.82 到 1.27 毫米之间。

与现有方法的比较

由于组织学是根据离体 MRI 几何形状进行的,我们选择将体内 MRI 转换为离体 MRI,与其他方法不同。

结论

该方法的有趣应用将包括将局部产生的病理电活动与组织的细微形态改变相关联,以及在组织学上验证 MRI 研究中信号改变或定量参数变化的起源。

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