Shan Zuyao Y, Parra Carlos, Ji Qing, Ogg Robert J, Zhang Yong, Laningham Fred H, Reddick Wilburn E
Division of Translational Imaging Research, Department of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):332-9. doi: 10.1007/11866763_41.
Human brain atlases are indispensable tools in model-based segmentation and quantitative analysis of brain structures. However, adult brain atlases do not adequately represent the normal maturational patterns of the pediatric brain, and the use of an adult model in pediatric studies may introduce substantial bias. Therefore, we proposed to develop a digital atlas of the pediatric human brain in this study. The atlas was constructed from T1-weighted MR data set of a 9-year old, right-handed girl. Furthermore, we extracted and simplified boundary surfaces of 25 manually defined brain structures (cortical and subcortical) based on surface curvature. We constructed a 3D triangular mesh model for each structure by triangulation of the structure's reference points. Kappa statistics (cortical, 0.97; subcortical, 0.91) indicated substantial similarities between the mesh-defined and the original volumes. Our brain atlas and structural mesh models (www.stjude.org/brainatlas) can be used to plan treatment, to conduct knowledge and model-driven segmentation, and to analyze the shapes of brain structures in pediatric patients.
人脑图谱是基于模型的脑结构分割和定量分析中不可或缺的工具。然而，成人大脑图谱并不能充分体现小儿脑的正常成熟模式，在儿科研究中使用成人模型可能会引入显著偏差。因此，我们在本研究中提议开发一个小儿人脑数字图谱。该图谱由一名9岁右利手女孩的T1加权磁共振数据集构建而成。此外，我们基于表面曲率提取并简化了25个手动定义的脑结构（皮质和皮质下）的边界表面。通过对结构参考点进行三角剖分，我们为每个结构构建了一个三维三角形网格模型。卡帕统计（皮质，0.97；皮质下，0.91）表明网格定义体积与原始体积之间存在高度相似性。我们的脑图谱和结构网格模型（www.stjude.org/brainatlas）可用于规划治疗、进行知识和模型驱动的分割，以及分析儿科患者脑结构的形状。
