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Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians

机译:使用改进的高斯混合变量进行多参数脑干分割

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摘要

The human brainstem is a densely packed, complex but highly organised structure. It not only serves as a conduit for long projecting axons conveying motor and sensory information, but also is the location of multiple primary nuclei that control or modulate a vast array of functions, including homeostasis, consciousness, locomotion, and reflexive and emotive behaviours. Despite its importance, both in understanding normal brain function as well as neurodegenerative processes, it remains a sparsely studied structure in the neuroimaging literature. In part, this is due to the difficulties in imaging the internal architecture of the brainstem in vivo in a reliable and repeatable fashion. A modified multivariate mixture of Gaussians (mmMoG) was applied to the problem of multichannel tissue segmentation. By using quantitative magnetisation transfer and proton density maps acquired at 3T with 0.8mm isotropic resolution, tissue probability maps for four distinct tissue classes within the human brainstem were created. These were compared against an ex vivo fixated human brain, imaged at 0.5mm, with excellent anatomical correspondence. These probability maps were used within SPM8 to create accurate individual subject segmentations, which were then used for further quantitative analysis. As an example, brainstem asymmetries were assessed across 34 right-handed individuals using voxel based morphometry (VBM) and tensor based morphometry (TBM), demonstrating highly significant differences within localised regions that corresponded to motor and vocalisation networks. This method may have important implications for future research into MRI biomarkers of pre-clinical neurodegenerative diseases such as Parkinson's disease. Highlights ? We developed a method to allow automated segmentation of the brainstem in vivo at 3T. ? The internal structure of the brainstem can be partitioned into four tissue types. ? Good anatomical correspondence with ex vivo MR brainstem anatomy is demonstrated. ? The brainstems of 34 subjects are segmented, and quantitatively analysed. ? Significant brainstem asymmetries are demonstrated in vivo .
机译:人脑干是一个密集的,复杂的但高度组织的结构。它不仅充当传递运动和感觉信息的长投射轴突的渠道,而且还是控制或调节各种功能(包括体内平衡,意识,运动以及自反和情绪行为)的多个主核的位置。尽管它在理解正常的大脑功能以及神经退行性过程中具有重要意义,但在神经影像学文献中仍然是研究稀疏的结构。部分原因是由于难以以可靠且可重复的方式在体内对脑干的内部结构进行成像。改进的高斯混合多元(mmMoG)被应用于多通道组织分割问题。通过使用在3T下以0.8mm各向同性分辨率获取的定量磁化传递和质子密度图,可以创建人脑干内四个不同组织类别的组织概率图。将它们与离体固定的人脑(在0.5mm处成像)进行了比较,具有出色的解剖学对应性。这些概率图在SPM8中用于创建准确的个体主题细分,然后用于进一步的定量分析。例如,使用基于体素的形态学(VBM)和基于张量的形态学(TBM)在34位惯用右手的人中评估了脑干不对称性,证明了与运动和发声网络相对应的局部区域内的高度显着差异。该方法可能对临床前神经退行性疾病(如帕金森氏病)的MRI生物标记物的未来研究具有重要意义。强调 ?我们开发了一种方法,可以在3T时在体内自动分割脑干。 ?脑干的内部结构可以分为四种组织类型。 ?证明了与离体MR脑干解剖结构良好的解剖学对应关系。 ?将34名受试者的脑干进行分割并进行定量分析。 ?体内表现出明显的脑干不对称。

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