基于磁性微泡对比剂的超声和磁共振影像融合算法
摘要
With the help of magnetic microbubble contrast agent, a new fusion scheme between ultrasound image and magnetic resonance image is presented in this paper. Magnetic microbubble contrast agent is used in both ultrasound and MRI imaging process to enhance and preserve most important information of interest. By using nonsubsampled contourlet transform (NSCT), source images are decomposed. Then, image edge segmentation, combined with an self-adaptive algorithm of dynamic weighted non-negative matrix factorization(DWNMF) is utilized to complete the fusion of low-frequency subband coefficients, the fusion course of bandpass directional subband coefficients can be realized by use of the model of spatial frequency-motivated pulse coupled neural networks. Finally, the ultimate fused image can be obtained with inverse NSCT. The experiment based on the above-mentioned scheme demonstrates that ultrasound-MRI fusion may be a promising method for obtaining high quality fusion image.