Rajagopalan Vidya, Scott Julia, Habas Piotr A, Kim Kio, Rousseau François, Glenn Orit A, Barkovich A James, Studholme Colin
Biomedical Image Computing Group, University of Washington, Seattle, USA.
Med Image Comput Comput Assist Interv. 2011;14(Pt 2):476-83. doi: 10.1007/978-3-642-23629-7_58.
The process of brain growth involves the expansion of tissue at different rates at different points within the brain. As the layers within the developing brain evolve they can thicken or increase in area as the brain surface begins to fold. In this work we propose a new spatiotemporal formulation of tensor based volume morphometry that is derived in relation to tissue boundaries. This allows the study of the directional properties of tissue growth by separately characterizing the changes in area and thickness of the adjacent layers. The approach uses temporally weighted, local regression across a population of anatomies with different ages to model changes in components of the growth radial and tangential to the boundary between tissue layers. The formulation is applied to the study of sulcal formation from in-utero MR imaging of human fetal brain anatomy. Results show that the method detects differential growth of tissue layers adjacent to the cortical surface, particularly at sulcal locations, as early as 22 gestational weeks.
大脑生长过程涉及大脑内不同部位组织以不同速率扩张。随着发育中大脑的各层不断演化，随着大脑表面开始折叠，它们会变厚或面积增加。在这项工作中，我们提出了一种基于张量的体积形态测量学的新时空公式，该公式是根据组织边界推导出来的。这使得通过分别表征相邻层的面积和厚度变化来研究组织生长的方向特性成为可能。该方法使用时间加权的局部回归，对不同年龄的一群解剖结构进行分析，以模拟与组织层边界径向和切向生长分量的变化。该公式应用于从人类胎儿脑解剖结构的宫内磁共振成像研究脑沟形成。结果表明，该方法早在妊娠22周时就能检测到与皮质表面相邻的组织层的差异生长，尤其是在脑沟部位。
