Duan Dingna, Xia Shunren, Meng Yu, Wang Li, Lin Weili, Gilmore John H, Shen Dinggang, Li Gang
Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Med Image Comput Comput Assist Interv. 2017 Sep;10433:12-20. doi: 10.1007/978-3-319-66182-7_2. Epub 2017 Sep 4.
The human cortical folding is intriguingly complex in its variability and regularity across individuals. Exploring the principal patterns of cortical folding is of great importance for neuroimaging research. The term-born neonates with minimum exposure to the complicated environments are the ideal candidates to mine the postnatal origins of principal cortical folding patterns. In this work, we propose a novel framework to study the gyral patterns of neonatal cortical folding. Specifically, , we leverage multi-view curvature-derived features to comprehensively characterize the complex and multi-scale nature of cortical folding. , for each feature, we build a dissimilarity matrix for measuring the difference of cortical folding between any pair of subjects. , we convert these dissimilarity matrices as similarity matrices, and nonlinearly fuse them into a single matrix via a similarity network fusion method. , we apply a hierarchical affinity propagation clustering approach to group subjects into several clusters based on the fused similarity matrix. The proposed framework is generic and can be applied to any cortical region, or even the whole cortical surface. Experiments are carried out on a large dataset with 600+ term-born neonates to mine the principal folding patterns of three representative gyral regions.
人类皮质折叠在个体间的变异性和规律性方面极其复杂。探索皮质折叠的主要模式对神经影像学研究至关重要。足月出生且极少接触复杂环境的新生儿是挖掘主要皮质折叠模式产后起源的理想对象。在这项工作中，我们提出了一个研究新生儿皮质折叠脑回模式的新框架。具体而言，我们利用多视图曲率衍生特征来全面表征皮质折叠的复杂和多尺度性质。对于每个特征，我们构建一个差异矩阵来测量任意一对受试者之间皮质折叠的差异。然后，我们将这些差异矩阵转换为相似性矩阵，并通过相似性网络融合方法将它们非线性融合成一个单一矩阵。最后，我们应用层次亲和传播聚类方法基于融合后的相似性矩阵将受试者分组为几个簇。所提出的框架具有通用性，可应用于任何皮质区域，甚至整个皮质表面。我们在一个包含600多名足月出生新生儿的大型数据集上进行实验，以挖掘三个代表性脑回区域的主要折叠模式。
