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Group-Wise Graph Matching of Cortical Gyral Hinges

机译:皮质陀螺铰链的明智组合图匹配

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摘要

Human brain image alignment has long been an intriguing research topic. The difficulty lies in the huge inter-individual variation. Also, it is not fully understood how structural similarity across subjects is related to functional correspondence. Recently, a gyral folding pattern, which is the conjunction of gyri from multiple directions and termed gyral hinge, was characterized. Gyral hinges have been demonstrated to have structural and functional importance and some of them were found to have cross-subject correspondences by manual labeling. However, there is no automatic method to estimate the cross-subject correspondences for whole-brain gyral hinges yet. To this end, we propose a novel group-wise graph matching framework, to which we feed structural connective matrices among gyral hinges from all subjects. The correspondence estimated by this framework is demonstrated by cross-subject consistency of both structural connective and functional profiles. Also, our results outperform the correspondences identified by pairwise graph matching and image-based registration methods.
机译:人脑图像对齐长期以来一直是一个有趣的研究主题。困难在于巨大的个体差异。另外,还没有完全理解受试者之间的结构相似性如何与功能对应性相关。最近,表征了一种回旋折叠模式,该回旋折叠模式是来自多个方向的回旋和称为回旋铰链的结合。陀螺铰链已被证明具有结构和功能上的重要性,并且通过手动标记发现其中一些具有跨学科的对应关系。但是,目前尚没有自动方法来估计全脑回旋铰链的跨学科对应关系。为此,我们提出了一种新颖的逐组图匹配框架,在该框架中,我们将所有对象的回旋铰链之间的结构性连接矩阵馈入。该框架所估计的对应性通过结构性连接词和功能性词的跨主题一致性来证明。同样,我们的结果优于通过成对图匹配和基于图像的配准方法识别的对应关系。

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