中国科学院研究生院学报2005，Vol.22Issue(4)：499-505,7.
基于小波变换的PET图像分析
PET Image Analysis Based on Wavelet Transform
摘要
Abstract
In this paper wavelet transform and test of hypothesis are combined to detect activated areas in PET images. The algorithm is validated by using the simulation images under different conditions.Compared with the spatial domain algorithm, the wavelet domain algorithm can get more precise results,better SNR trait and more rapid computing speed . The probability of type Ⅱ error in wavelet domain is less than that in the spatial domain, so the wavelet domain algorithm is a kind of sensitive algorithm.Finally, we used this algorithm to process the real PET images and achieved good result. This algorithm may result in important significance to the detection of functional areas, the clinic diagnosis and the evaluation of curative effect.关键词
小波变换/t-检验/正电子发射计算机断层成像/激活区Key words
wavelet transform/t-test/Positron Emission Tomography(PET)/activated area分类
医药卫生引用本文复制引用
闫镔,袁秀丽,单保慈,王鹏,李可,郝晶,吴义根,谢千河,支联合,王崴,鲁娜..基于小波变换的PET图像分析[J].中国科学院研究生院学报,2005,22(4):499-505,7.基金项目
supported by the Major State Basic Research Development Program of China (G1999054000), the Knowledge Innovation Project of Chinese Academy of Sciences (U-516-3) （G1999054000）
