Improved Neuroimaging Atlas of the Dentate Nucleus
Improved Neuroimaging Atlas of the Dentate Nucleus
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DOI：
10.1007/s12311-017-0872-7
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发表时间：
2017-12-01
期刊：
影响因子：
3.5
通讯作者：
Hu, Xiaoping P.
中科院分区：
文献类型：
--
作者：
He, Naying;Langley, Jason;Hu, Xiaoping P.
小脑齿状核（DN）是小脑的主要输出核团，富含铁。定量磁敏感性成像（QSM）提供了比T2加权成像或磁敏感性加权成像更好的铁敏感性MRI对比度来描绘DN的边界。先前的DN图谱使用T-2加权或可测量性加权图像来创建DN图谱。在这里，我们采用QSM图像开发一个改进的齿状核图谱用于成像研究。在QSM图像中对38名健康志愿者的DN进行分割。将得到的DN掩码变换到公共空间并求平均值以生成DN图谱。蒙特利尔神经研究所空间中基于QSM的DN图谱的左侧和右侧的质心分别为-13.8、-55.8和-36.4 mm，以及13.8、-55.7和-36.4 mm。在该队列中，具有单独分段DN的DN图谱的最大概率和平均概率分别为100%和39.3%，而早期DN图谱的最大概率约为75%，平均概率为23.4%至33.7%。使用QSM，它提供了优越的上级铁敏感的MRI对比描绘富铁结构，一个改进的图集为齿状核已产生。该图谱可用于研究DN在正常皮质-小脑生理学和各种疾病状态中的作用。
The dentate nucleus (DN) of the cerebellum is the major output nucleus of the cerebellum and is rich in iron. Quantitative susceptibility mapping (QSM) provides better iron-sensitive MRI contrast to delineate the boundary of the DN than either T-2-weighted images or susceptibility-weighted images. Prior DN atlases used T-2-weighted or susceptibility-weighted images to create DN atlases. Here, we employ QSM images to develop an improved dentate nucleus atlas for use in imaging studies. The DN was segmented in QSM images from 38 healthy volunteers. The resulting DN masks were transformed to a common space and averaged to generate the DN atlas. The center of mass of the left and right sides of the QSM-based DN atlas in the Montreal Neurological Institute space was -13.8, -55.8, and -36.4 mm, and 13.8, -55.7, and -36.4 mm, respectively. The maximal probability and mean probability of the DN atlas with the individually segmented DNs in this cohort were 100 and 39.3%, respectively, in contrast to the maximum probability of approximately 75% and the mean probability of 23.4 to 33.7% with earlier DN atlases. Using QSM, which provides superior iron-sensitive MRI contrast for delineating iron-rich structures, an improved atlas for the dentate nucleus has been generated. The atlas can be applied to investigate the role of the DN in both normal cortico-cerebellar physiology and the variety of disease states in which it is implicated.