Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians.

Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians.
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DOI:
10.1016/j.nicl.2013.04.017
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发表时间:
2013
影响因子:
4.2
通讯作者:
Ashburner, John
Ashburner, John
中科院分区:
医学2区
文献类型:
--
作者:
Lambert, Christian;Lutti, Antoine;Helms, Gunther;Frackowiak, Richard;Ashburner, John

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人类脑干是一个密集、复杂但组织严密的结构。它不仅充当传递运动和感觉信息的长突出轴突的管道,而且还是控制或调节大量功能的多个初级核的位置,包括稳态、意识、运动以及反射和情感行为。尽管它对于理解正常大脑功能和神经退行性过程都很重要,但它在神经影像学文献中仍然是一个很少被研究的结构。部分原因是难以以可靠且可重复的方式对体内脑干的内部结构进行成像。改进的多元高斯混合(mmMoG)被应用于多通道组织分割问题。通过使用在 3 T 下以 0.8 mm 各向同性分辨率获取的定量磁化转移和质子密度图,创建了人类脑干内四种不同组织类别的组织概率图。将它们与离体固定的人脑进行比较,以 0.5 毫米成像,具有良好的解剖学对应性。这些概率图在 SPM8 中用于创建准确的个体主题分割,然后用于进一步的定量分析。例如,使用基于体素的形态测量 (VBM) 和基于张量的形态测量 (TBM) 对 34 名右手个体的脑干不对称性进行了评估,证明了与运动和发声网络相对应的局部区域内存在高度显着的差异。这种方法可能对帕金森病等临床前神经退行性疾病的 MRI 生物标志物的未来研究具有重要意义。我们开发了一种方法,可以在 3 T 下对体内脑干进行自动分割。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性。对 34 名受试者的脑干进行了分割和定量分析。体内表现出显着的脑干不对称性。
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 3 T with 0.8 mm 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 0.5 mm, 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. We developed a method to allow automated segmentation of the brainstem in vivo at 3 T. 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.
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