PET脑视功能区自动提取的研究

The Study of Automatic Functional Area of Brain Extraction in PET Images

目的建立自动提取脑部功能区的方法。 方法通过非线性的空间变换将PET图像经过图像配准和图像形变两个步骤,归一化到Talairach坐标系,根据图谱中脑功能区的坐标,在3D图像中提取相应的功能区;为验证功能区提取的有效性,对志愿者带眼罩和不带眼罩各14例,加光刺激,提取视区并染色,计算经小脑归一化后的平均密度值。 结果两组视区平均密度值显著性差异(P<0.001);视区位置符合解剖学定义。 结论自动提取功能区的方法是有效的。

Objective To establish a method which can extract functional areas of the brain automatically. Methods 18F - FDG PET images were spatially normalized to Talairach Atlas space through two steps, image registration and image deformation. The functional areas were extracted from 3D PET images based on the coordinate extracted from Atlas; 14 volunteers with an eyepatch and 14 volunteers without an eyepatch were stimulated by light. Brodmann 17 area was extracted and rendered, the grey value of the area was normalized by the cerebellum, then the grey mean of the whole area was measured. Results The grey mean between two groups had significant difference (P <0.001). The position of Brodmann 17 area corresponded to the anatomical definition. Conclusion The automatic functional area extracted method proved officacious.