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
中科院分区:
文献类型:
--
作者:
Lambert, Christian;Lutti, Antoine;Helms, Gunther;Frackowiak, Richard;Ashburner, John
关键词:
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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影响因子:
5.7
作者:
Barry, Robert L.;Klassen, L. Martyn;Menon, Ravi S.
通讯作者:
Menon, Ravi S.
影响因子:
--
作者:
KERTESZ, A;GESCHWIND, N
通讯作者:
GESCHWIND, N
DOI:
10.1093/jnen/61.5.413
发表时间:
2002-05-01
影响因子:
3.2
作者:
Del Tredici, K;Rüb, U;Braak, H
通讯作者:
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影响因子:
5.7
作者:
Ashburner J;Friston KJ
通讯作者:
Friston KJ
影响因子:
2.5
作者:
HASSELBLAD, V
通讯作者:
HASSELBLAD, V