T1 magnetic resonance imaging head segmentation for diffuse optical tomography and electroencephalography.
T1 magnetic resonance imaging head segmentation for diffuse optical tomography and electroencephalography.
复制标题
用于漫射光学断层扫描和脑电图的 T1 磁共振成像头部分割。
DOI：
10.1117/1.jbo.19.2.026011
复制
发表时间：
2014
影响因子：
3.5
通讯作者：
Diamond,SolomonG
中科院分区：
文献类型：
--
作者：
Perdue,KatherineL;Diamond,SolomonG
结构磁共振图像的准确分割对于创建用于功能神经成像源定位的受试者特定的前向模型至关重要。在这项工作中，我们提出了一种创新的分割算法，产生准确的头部组织层厚度，需要扩散光学断层扫描（DOT）数据分析。该算法与其他公开可用的头部分割方法进行了比较。所提出的算法具有1.60 mm的均方根头皮厚度误差、1.96 mm的颅骨厚度误差以及1.49 mm的头皮和颅骨误差总和。我们还介绍了一个分割评估指标，评估的准确性，组织层厚度的区域中的头部，其中optodes通常放置。提出的分割算法和评价指标是提高DOT神经成像定位精度的工具，也是多模态神经成像，如组合脑电图和DOT。
Accurate segmentation of structural magnetic resonance images is critical for creating subject-specific forward models for functional neuroimaging source localization. In this work, we present an innovative segmentation algorithm that generates accurate head tissue layer thicknesses that are needed for diffuse optical tomography (DOT) data analysis. The presented algorithm is compared against other publicly available head segmentation methods. The proposed algorithm has a root mean square scalp thickness error of 1.60 mm, skull thickness error of 1.96 mm, and summed scalp and skull error of 1.49 mm. We also introduce a segmentation evaluation metric that evaluates the accuracy of tissue layer thicknesses in regions of the head where optodes are typically placed. The presented segmentation algorithm and evaluation metric are tools for improving the localization accuracy of neuroimaging with DOT, and also multimodal neuroimaging such as combined electroencephalography and DOT.