Medical image reconstruction based on Bayesian compressed sensing
文献类型：会议论文
| 作者 | YU-HONG LI; DE-FENG WANG; L.M. LUI; A.T. AHUJA; PHENG ANN HENG |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Machine Learning and Cybernetics |
| 会议地点 | Guilin, Guangxi, China |
| 英文摘要 | A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3340]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | YU-HONG LI,DE-FENG WANG,L.M. LUI,et al. Medical image reconstruction based on Bayesian compressed sensing[C]. 见:2011 International Conference on Machine Learning and Cybernetics. Guilin, Guangxi, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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