TV Sparsifying MR Image Reconstruction in Compressive Sensing

• 作者: Xiaolan Yang Yonggui Zhu
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: Compressed SENSING Magnetic RESONANCE IMAGE TOTAL VARIATION IMAGE RECONSTRUCTION
• 年，卷（期）: 2011,（1）
• 页码范围: 44-51
• 页数: 8页
• 分类号: TP39

摘要

In this paper, we apply alternating minimization method to sparse image reconstruction in compressed sensing. This approach can exactly reconstruct the MR image from under-sampled k-space data, i.e., the partial Fourier data. The convergence analysis of the fast method is also given. Some MR images are employed to test in the numerical experi-ments, and the results demonstrate that our method is very efficient in MRI reconstruction.