定量判断个体脑放射性分布异常的模型研究

Detecting Individual Brain Metabolism Quantitatively by Estimating Overall Average of Brain Phantoms

目的:建立一种简单易行的用于诊断个体脑放射性分布异常的方法,并采用模型成像进行验证。方法:对Hoffman标准脑模型进行正电子发射断层扫描(PET)显像,得到15幅正常脑放射性分布图像,求得正常脑放射性分布图谱。利用Hoffman模型制作脑梗死模型和高放射性分布模型并进行PET成像,标准化后与正常脑放射性分布图谱进行比较,得到特定置信水平上的脑放射性分布差异图。结果:本试验中,脑图谱法对高放射性分布和低放射性分布病灶的检出率均为100%,对异常放射性分布有较高的灵敏度,并可以分别显示高于和低于正常值的差异程度。结论:该方法可以用于个体脑放射性分布的临床诊断,原理可靠,操作简单。

Objective：To establish a measurement on changes of individual cerebral metabolism featured with facility, stability and quantification. Methods：With 15 positron emission tomography （PET） images of Hoffman standard brain phantom, the normal cerebral metabolism atlas was generated and corrected by Bonferroni method for its high false positive. And PET images of high metabolism and low metabolism phantom were used to test the atlas. Results：The results of the method were consistent with true conditions in Hoffman brain phantom and took more information than visual analysis. They could show the extent of pathological changes. Conclusion：The method is simple, reliable, practical and helpful for auxiliary diagnosis.