Naor Z, Yeshurun Y, Myslobodsky M
Department of Computer Sciences, Tel-Aviv University, Israel.
Neuropsychol Rev. 1996 Jun;6(2):95-105. doi: 10.1007/BF01875370.
A procedure for automatic identification of sulci of cerebral hemispheres in magnetic resonance images is presented. The algorithm departs from information of the spatial location of a given feature (e.g., sulcal contour) in one hemisphere and automatically defines its course in the other hemisphere. The automatic tracing of sulci was successfully performed in the mesial aspect of both hemispheres in 18 normal individuals. The sulcal location in the target hemisphere was first approximated by assuming an affine transformation between hemispheres, and then refined by local edge analysis. The method produced reliable results in comparing the intersulcal areas (the cuneus), sulcal length, their complexity, and the angle between the pariteooccipital and retrocalcarine fissures.
本文介绍了一种用于在磁共振图像中自动识别大脑半球脑沟的方法。该算法从一个半球中给定特征（如脑沟轮廓）的空间位置信息出发，自动确定其在另一个半球中的走向。在18名正常个体的两个半球的内侧部分成功进行了脑沟的自动追踪。目标半球中的脑沟位置首先通过假设半球之间的仿射变换进行近似，然后通过局部边缘分析进行细化。该方法在比较脑沟间区域（楔叶）、脑沟长度、其复杂性以及顶枕沟和距状后裂之间的角度方面产生了可靠的结果。
