PET/CT Medical Image Fusion Algorithm Based on Multiwavelet Transform

摘要：

PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar wavelets on image processing, this paper proposes a medical image fusion algorithm based on multiwavelet transform after in-depth study of wavelet theory. The algorithm achieves PET/CT fusion with wavelet coefficients fusion method. Experimental results show that fusion image combines information of the source images, adds more details and texture information, and achieves a good fusion result Based on the proposed algorithm, we can obtain the best result when using gradient fusion in the lowfrequency part and classification fusion in the highfrequency part.

关键词： PET/CT image fusion multiwavelet transform

作者: Yuhui Liu Jinzhu Yang Jinshan Sun

作者单位: The Research of Northeastern University Shenyang, China Key Laboratory of Medical Image Computing of Ministry of Education Northeast University Sheyang, Chi College of Information Science and Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 264-268

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）