Compressed Sensing MRI based on Nonsubsampled Contourlet Transform

摘要：

How to reduce acquisition time is very important in magnetic resonance imaging (MRI). Compressed sensing MRI emerges recently to suppress the aliasing when undersampling k-space data is employed However,typical sparse transform for compressed sensing MRI ever used is wavelet, which only captures limited directional information with decay rate M-1. In this paper, we introduce contourlet into compressed sensing to obtain a sparse expansion for smooth contours with decay rate C(logM)3M2 and employ nonsubsampled contourlet to increase the redundancy of basis for magnetic resonance images. We propose compressed sensing MRI based on nonsubsampled contourlet transform (NSCT). Experimental results demonstrate that NSCT outperforms wavelet on suppressing the aliasing and improves the visual appearance of magnetic resonance images.

作者: Xiaobo Qu Di Guo Zhong Chen Congbo Cai

作者单位: Departments of Communication Engineering and Physics,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of MOE,Xiamen University,Xiamen 361005,PR China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 693-696

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）