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Near Real-Time X-Ray Cone-Beam Microtomography

Published online by Cambridge University Press:  02 July 2020

Shih Ang
Affiliation:
Advanced Microscopy and Imaging Laboratory, Department of Electrical Engineering, State University of New York, Buffalo, NY14260, USA
Wang Ge
Affiliation:
Department of Radiology, University of Iowa, Iowa City, IA52242, USA
Cheng Ping-Chin
Affiliation:
Advanced Microscopy and Imaging Laboratory, Department of Electrical Engineering, State University of New York, Buffalo, NY14260, USA
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Due to the penetration ability and absorption contrast mechanism, cone-beam X-ray microtomography is a powerful tool in studying 3D microstructures in opaque specimens. In contrast to the conventional parallel and fan-beam geometry, the cone-beam tomography set up is highly desirable for faster data acquisition, build-in magnification, better radiation utilization and easier hardware implementation. However, the major draw back of the cone-beam reconstruction is its computational complexity. In an effort to maximize the reconstruction speed, we have developed a generalized Feldkamp cone-beam reconstruction algorithm to optimize the reconstruction process. We report here the use of curved voxels in a cylindrical coordinate system and mapping tables to further improve the reconstruction efficiency.

The generalized Feldkamp cone-beam image reconstruction algorithm is reformulated utilizing mapping table in the discrete domain as: , where .

Type
Computational Methods for Microscopy and Microanalysis
Copyright
Copyright © Microscopy Society of America

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References

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