Guevara M, Seguel D, Roman C, Duclap D, Lebois A, Mangin J-F, Poupon C, Guevara P
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:426-9. doi: 10.1109/EMBC.2015.7318390.
Human brain connection map is far from being complete. In particular the study of the superficial white matter (SWM) is an unachieved task. Its description is essential for the understanding of human brain function and the study of the pathogenesis associated to it. In this work we developed a method for the automatic creation of a SWM bundle multi-subject atlas. The atlas generation method is based on a cortical parcellation for the extraction of fibers connecting two different gyri. Then, an intra-subject fiber clustering is applied, in order to divide each bundle into sub-bundles with similar shape. After that, a two-step inter-subject fiber clustering is used in order to find the correspondence between the sub-bundles across the subjects, fuse similar clusters and discard the outliers. The method was applied to 40 subjects of a high quality HARDI database, focused on the left hemisphere fronto-parietal and insula brain regions. We obtained an atlas composed of 44 bundles connecting 22 pair of ROIs. Then the atlas was used to automatically segment 39 new subjects from the database.
人类大脑连接图谱远未完善。特别是对大脑浅表白质（SWM）的研究仍是一项未完成的任务。其描述对于理解人类大脑功能以及与之相关的发病机制研究至关重要。在这项工作中，我们开发了一种自动创建SWM束多主体图谱的方法。该图谱生成方法基于一种皮质分区，用于提取连接两个不同脑回的纤维。然后，应用主体内纤维聚类，以便将每个束划分为形状相似的子束。之后，使用两步主体间纤维聚类来寻找不同主体间子束的对应关系，融合相似的聚类并舍弃异常值。该方法应用于一个高质量HARDI数据库的40名受试者，重点关注左半球额顶叶和脑岛脑区。我们获得了一个由连接22对感兴趣区域（ROI）的44个束组成的图谱。然后，该图谱被用于自动分割数据库中的39名新受试者。
