Algebraic Reconstruction Technique Class for Linear Scan CT of Long Object
The nondestructive testing (NDT) of long object (such as pipeline) has significant value. Computed tomography (CT) is able to generate 3D images and display the inner defects of the inspected object. Sometimes the long object fixed outdoors cant be rotated, and the rotating of the X-ray source and detector is also difficult. So the linear scan CT, translating the X-ray source and detector along longitude of long object synchronously, is considered. However, the projection data of linear scan CT is incomplete because of the limit of the ray-beam flare angle. The algebraic reconstruction technique is able to generate higher quality images compared with the filtered back projection (FBP) method when the projection data is noisy or incomplete. In this paper, simultaneous algebraic reconstruction technique (SART) and Ordered Subsets Expectation Maximization (OSEM) are realized for linear scan CT. Further more, some simulation experiments with different translation step and different flare angle are realized. The results show that the algebraic reconstruction technique class can generate approving CT image in linear scan CT.
Nondestructive testing computed tomography linear scan long object algebraic reconstructiontechnique
Baodong LIU Li ZENG Dongjiang JI
ICT research center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, 400044, Chongqing, P. R. China2 College of Optoelectronic Engineerning, Chongqing University, China3 Department of Mathem
国际会议
第十七届世界无损检测会议(17th World Conference on Nondestructive Testing)
上海
英文
315-319
2008-10-25（万方平台首次上网日期，不代表论文的发表时间）