An algorithm for computed tomography image reconstruction from limited-view projections |
| |
Authors: | Wang Lin-Yuan Li Lei Yan Bin Jiang Cheng-Shun Wang Hao-Yu Bao Shang-Lian |
| |
Affiliation: | (a) National Digital Switching System Engineering & Technological R &D Centre, Zhengzhou 450002, China ; b) The Beijing City Key Lab of Medical Physics & Engineering, Peking University, Beijing 100871, China) |
| |
Abstract: | With the development of the compressive sensing theory, the image reconstruction from the projections viewed in limited angles is one of the hot problems in the research of computed tomography technology. This paper develops an iterative algorithm for image reconstruction, which can fit most cases. This method gives an image reconstruction flow with the difference image vector, which is based on the concept that the difference image vector between the reconstructed and the reference image is sparse enough. Then the l1-norm minimization method is used to reconstruct the difference vector to recover the image for flat subjects in limited angles. The algorithm has been tested with a thin planar phantom and a real object in limited-view projection data. Moreover, all the studies showed the satisfactory results in accuracy at a rather high reconstruction speed. |
| |
Keywords: | limited-view problem computed tomography image reconstruction algorithms reconstruction-reference difference algorithm adaptive steepest descent-projection onto convex sets algorithm |
本文献已被 CNKI 维普 等数据库收录! |
| 点击此处可从《中国物理 B》浏览原始摘要信息 |
|
点击此处可从《中国物理 B》下载免费的PDF全文 |
|