Manceaux-Demiau A, Bryan R N, Davatzikos C
Department of Radiology, Johns Hopkins University Hospital, Baltimore, MD, USA.
J Comput Assist Tomogr. 1998 Nov-Dec;22(6):962-71. doi: 10.1097/00004728-199811000-00022.
An approach for quantifying the shapes of the cerebral sulci is presented, utilizing a probabilistic geometric model, and it is applied to the central sulcus.
The geometric structure of the central sulcus is determined from a set of outlines on cross-sectional images and is used by a procedure that automatically labels the major crest lines, i.e., curves of locally maximal curvature, along the sulcus. An automated procedure then determines a parametric representation of the central sulcus that is consistent across individuals, in that it assigns the same parametric coordinates to corresponding regions of the sulcus.
The method is applied to the central sulci from 20 subjects. The use of this shape representation in cortical morphometric analysis applications is demonstrated, in particular in obtaining local depth and curvature measurements of a sulcus as well as in determining average shapes and variability.
With this method, we were able to build parametric representations of the sulcal ribbons by preserving anatomical homologies.
提出一种利用概率几何模型量化脑沟形状的方法，并将其应用于中央沟。
从一组横截面图像的轮廓确定中央沟的几何结构，并通过一个程序自动标记沿沟的主要嵴线，即局部最大曲率曲线。然后，一个自动化程序确定中央沟的参数表示，该表示在个体间是一致的，因为它为沟的相应区域分配相同的参数坐标。
该方法应用于20名受试者的中央沟。展示了这种形状表示在皮质形态计量分析应用中的使用，特别是在获得沟的局部深度和曲率测量值以及确定平均形状和变异性方面。
通过这种方法，我们能够通过保留解剖同源性来构建沟带的参数表示。
