Dann R, Hoford J, Kovacic S, Reivich M, Bajcsy R
Department of Computer and Information Science, University of Pennsylvania, Philadelphia 19104-6389.
J Comput Assist Tomogr. 1989 Jul-Aug;13(4):603-11. doi: 10.1097/00004728-198907000-00009.
To evaluate the performance of our elastic matching system, we have created a digitized atlas from the brain of a normal young man, using 135 myelin-stained sections at 700 microns spacing. Software was written to enter and edit regional anatomic contours, which were stacked and aligned to create a three-dimensional atlas. We then evaluated the matching system by comparing computer generated contours with expert defined contours for several subcortical structures, based on CT scans from six neurologically normal patients. The error in positioning, as defined by the distance between the centers of gravity, averaged 4.2 mm for the computer and 1.7 mm for the worst expert's reading, with the computer drawn region frequently inscribed within that of the expert. Comparison was also made for each structure by determining the volume of overlap and the volumes not overlapping. On average, the computer's agreement with the experts was approximately 20% less than the agreement among the experts. This was a preliminary test of the system using only subcortical structures. The results are promising, and techniques are being implemented to overcome the current deficiencies.
为评估我们的弹性匹配系统的性能，我们从一名正常青年男性的大脑创建了一个数字化图谱，使用了间隔700微米的135张髓磷脂染色切片。编写了软件来输入和编辑区域解剖轮廓，将这些轮廓堆叠并对齐以创建三维图谱。然后，我们根据六名神经功能正常患者的CT扫描，通过比较计算机生成的轮廓与专家定义的几个皮质下结构的轮廓来评估匹配系统。根据重心之间的距离定义的定位误差，计算机平均为4.2毫米，最差专家读数为1.7毫米，计算机绘制的区域经常包含在专家绘制的区域内。还通过确定重叠体积和不重叠体积对每个结构进行了比较。平均而言，计算机与专家的一致性比专家之间的一致性约低20%。这是该系统仅使用皮质下结构的初步测试。结果很有前景，正在实施相关技术来克服当前的不足。
