A new iterative algorithm for CT reconstruction based on the recursive least square (RLS) scheme
The projection procedure in the computerized tomographic (CT) imaging is treated as a linear discrete system with special inputs and outputs, i.e., the illumination beams of X-rays are regarded as the inputs while its projections are regarded as the outputs.A new scheme is proposed to construct the inputs.Thus, the image reconstruction becomes a parameter estimation question.In this paper, the recursive least square with forgetting factor (FF-RLS) algorithm is employed in the parameter estimation.The results of simulation example demonstrate the proposed algorithm have very good performance even in the case of rather low projection density, which is much better than the general filtered backprojection (FBP) algorithm.
Hongli Shi Shuaian Luo
College of Biomedical Engineering, Capital Medical University, Beijing, 100069
国内会议
北京
英文
37-40
2012-12-01（万方平台首次上网日期，不代表论文的发表时间）