会议专题

Variational Model on Wavelet Domain for PET/CT Image Fusion

Objective To find a new algorithm for PET/CT image fusion. Methods A variational model was used based on the wavelet transform. Firstly, PET and CT images were decomposed using wavelet transform. Then, images in approximate channel and detail channel were fused according to the two proposed assumption. Finally, decomposed images were synthesized to form fused image. Results Compared with the results form MATLAB wavelet fusion toolbox, the experimental results showed that the new variational image fusion model could provide more accurate result for target location in radiotherapy planning. Conclusion According to experiments, the new algorithm can reach good results and meet requirement of clinical demands.

image fusion variational model wavelet PET CT

Tong Lei Chen Chao-min Ni Qian Liu Lin-xiang

Guangdong Vocational College of Mechanical and Electrical Technology Department of Biomedical Engineering in Southern Medical University,Guangzhou 510515,China

国际会议

The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

北京

英文

1-4

2009-06-11(万方平台首次上网日期,不代表论文的发表时间)