Journal of University of Chinese Academy of Sciences >
PET Image Analysis Based on Wavelet Transform
Received date: 2004-06-08
Revised date: 2004-09-15
Online published: 2005-07-15
Supported by
supported by the Major State Basic Research Development Program of China (G1999054000),the Knowledge Innovation Project of Chinese Academy of Sciences (U5163)
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.
YAN Bin , WANG Peng , LI Ke , HAO Jing , WU Yi-Gen , XIE Qian-He , ZHI Lian-He , WANG Wei , LU Na , YUAN Xiu-Li , SHAN Bao-Ci . PET Image Analysis Based on Wavelet Transform[J]. Journal of University of Chinese Academy of Sciences, 2005 , 22(4) : 499 -505 . DOI: 10.7523/j.issn.2095-6134.2005.4.016
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