基于Talairach图谱的脑^(18)F-FDG PET图像基底节区的自动勾画

The study of automatic brain extraction of basal ganglia based on atlas of Talairach in ^(18)F-FDG PET images

目的建立自动勾画基底节区的方法,并测定健康人的半定量值。方法通过非线性空间变换将PET图像经图像配准和图像形变2个步骤,归一化到Talairach坐标系,根据图谱中脑功能区的坐标,在三维图像中提取相应的基底节区,计算经大脑归一化后尾状核和壳核的半定量值。结果基于Talairach图谱可自动勾画尾状核和壳核,左侧尾状核头、体、尾部的正常值分别为1.02±0.04、0.92±0.07和0.71±0.03,右侧分别为0.98±0.03、0.87±0.04和0.71±0.01,左、右侧壳核的正常值分别为1.20±0.06和1.20±0.04,左右侧半定量值差异无显著性(P>0.05)。结论基于Talairach图谱自动勾画尾状核和壳核的方法有效。

Objective To establish a method which can extract functional areas of the brain basal ganglia automatically. Methods ^18F-fluorodeoxyglucose （FDG） PET images were spatial normalized to Talairach atlas space through two steps, image registration and image deformation. The functional areas were extracted from three dimension PET images based on the coordinate obtained from atlas; caudate and putamen were extracted and rendered, the grey value of the area was normalized by whole brain. Results The normal ratio of left caudate head, body and tail were 1.02 ± 0.04, 0.92 ± 0.07 and 0.71 ± 0.03, the right were 0.98 ± 0.03, 0.87 ± 0.04 and 0.71 ± 0.01 respectively. The normal ratio of left and right putamen were 1.20 ± 0.06 and 1.20 ± 0.04. The mean grey value between left and right basal ganglia had no significant difference （ P 〉 0. 05 ）. Conclusion The automatic functional area extracting method based on atlas of Talairach is feasible.