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Proceedings Paper

Reconstruction algorithm improving the spatial resolution of Micro-CT
Author(s): Jian Fu; Dongbo Wei; Bing Li; Lei Zhang
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Paper Abstract

X-ray Micro computed tomography (Micro-CT) enables nondestructive visualization of the internal structure of objects with high-resolution images and plays an important role for industrial nondestructive testing, material evaluation and medical researches. Because the micro focus is much smaller than the ordinary focus, the geometry un-sharpness of Micro-CT projection is several decuples less than that of ordinary CT systems. So the scan conditions with high geometry magnification can be adopted to acquire the projection data with high sampling frequency. Based on this feature, a new filter back projection reconstruction algorithm is researched to improve the spatial resolution of Micro-CT. This algorithm permits the reconstruction center at any point on the line connecting the focus and the rotation center. It can reconstruct CT images with different geometry magnification by adjusting the position of the reconstruction center. So it can make the best of the above feature to improve the spatial resolution of Micro-CT. The computer simulation and the CT experiment of a special spatial resolution phantom are executed to check the validity of this method. The results demonstrate the effect of the new algorithm. Analysis shows that the spatial resolution can be improved 50%.

Paper Details

Date Published: 22 February 2008
PDF: 6 pages
Proc. SPIE 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology, 66221N (22 February 2008); doi: 10.1117/12.790906
Show Author Affiliations
Jian Fu, Beijing Univ. of Aeronautics and Astronautics (China)
Dongbo Wei, Beijing Univ. of Aeronautics and Astronautics (China)
Bing Li, Beijing Univ. of Aeronautics and Astronautics (China)
Lei Zhang, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6622:
International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology

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