Reduction of the Beam Hardening Artifacts in the X-Ray Computer Tomography: Energy Discrimination with a Photon-Counting Detector

Abstract

The material identification is a pressing requirement for the sensitive security applications. Dual-energy X-ray computer tomography (DXCT) has been investigated for material identification in the medical and security fields. It requires two tomographic images at sufficiently different energies. To discriminate dangerous materials of light elements such as plastic bombs in luggage, it is needed to measure accurately with several tens of kilo electron volts where such materials exhibit significant spectral differences. However, CT images in that energy region often include artifacts from beam hardening. To reduce these artifacts, a novel reconstruction method has been investigated. It is an extension of the Al-gebraic Reconstruction Technique and Total Variation (ART-TV) method that reduces the artifacts in a lower-energy CT image by referencing it to an image obtained at higher energy. The CT image of a titanium sample was recon-structed using this method in order to demonstrate the artifact reduction capability.

Share and Cite:

Y. Imura, T. Yanagida, H. Morii, H. Mimura and T. Aoki, "Reduction of the Beam Hardening Artifacts in the X-Ray Computer Tomography: Energy Discrimination with a Photon-Counting Detector," World Journal of Nuclear Science and Technology, Vol. 2 No. 4, 2012, pp. 169-173. doi: 10.4236/wjnst.2012.24026.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] T. R. C. Johnson, B. Krau?, M. Sedlmair, M. Grasruck, H. Bruder, D. Morhard, C. Fink, S. Weckbach, M. Lenhard, B. Schmidt, T. Flohr, M. F. Reiser and C. R. Becker, “Material Differentiation by Dual Energy CT: Initial Experience,” European Radiology, Vol. 17, No. 6, 2007, pp. 1510-1517. doi:10.1007/s00330-006-0517-6
[2] R. T. Gupta, L. M. Ho, D. Marin, D. T. Boll, H. X. Barnhart and R. C. Nelson, “Dual-Energy CT for Characterization of Adrenal Nodules: Initial Experience,” American Journal of Roentgenology, Vol. 194, No. 6, 2010, pp. 1479-1483. doi:10.2214/AJR.09.3476
[3] A. Graser, T. R. C. Johnson, H. Chandarana and M. Macari, “Dual Energy CT: Preliminary Observations and Potential Clinical Applications in the Abdomen,” European radiology, Vol. 19, No. 1, 2009, pp. 13-23. doi:10.2214/AJR.09.3476
[4] K. Engelke, C. Libanati, Y. Liu, H. Wang, M. Austin, T. Fuerst, B. Stampa, W. Timm and H. K. Genant, “Quantitative Computed Tomography (QCT) of the Forearm Using General Purpose Spiral Whole-Body CT Scanners: Accuracy, Precision and Comparison with Dual-Energy X-Ray Absorptiometry (DXA),” Bone, Vol. 45, No. 1, 2009, pp. 110-118.
[5] G. Hides, R. Eliahou, M. Dovdevani, P. Coulon, L. Lemaitre, O. N. Gofrit, D. Pode and J. Sosna, “Determination of Renal Stone Composition with Dual-Energy CT: In Vivo Analysis and Comparison with X-Ray Diffraction,” Radiology, Vol. 257, No. 2, 2010, pp. 394-401. doi:10.1148/radiol.10100249
[6] B. Ruzsics, H. Lee, P. L. Zwerner, M. Gebregziabher, P. Costello and U. J. Schoepf, “Dual-Energy CT of the Heart for Diagnosing Coronary Artery Stenosis and Myocardial Ischemia-Initial Experience,” European Radiology, Vol. 18, No. 11, 2008, pp. 2414-2424. doi:10.1007/s00330-008-1022-x
[7] M. Torikoshi, T. Tsunoo, M. Sasaki, M. Endo, Y. Noda, Y. Ohno, T. Kohno, K. Hyodo, K. Uesugi and N. Yagi, “Electron Density Measurement with Dual-Energy X-Ray CT Using Synchrotron Radiation,” Physics in Medicine and Biology, Vol. 48, No. 5, 2003, pp. 673-685. doi:10.1088/0031-9155/48/5/308
[8] G. Zentai, “X-Ray Imaging for Homeland Security,” International Journal of Signal and Imaging Systems Engineering, Vol. 3, No. 1, 2010, pp. 13-20. doi:10.1504/IJSISE.2010.034628
[9] W. Zou, T. Nakashima, Y. Onishi, A. Koike, B. Shinomiya, H. Morii, Y. Neo, H. Mimura and T. Aoki, “Atomic Number and Electron Density Measurement Using a Conventional X-Ray Tube and a CdTe Detector,” Japanese Journal of Applied Physics, Vol. 47, No. 9, 2008, pp. 7317-7323. doi:10.1143/JJAP.47.7317
[10] R. A. Brooks and G. D. Chiro, “Beam Hardening in X-Ray Reconstructive Tomography,” Physics in Medicine and Biology, Vol. 21, No. 3, 1976, pp. 390-398. doi:10.1088/0031-9155/21/3/004
[11] Van de Casteele, E. E. V. Casteele, D. V. Dyck, J. Sijbers and E. Raman, “An Energy-Based Beam Hardening Model in Tomography,” Physics in Medicine and Biology, Vol. 47, No. 23, 2002, pp. 4181-4190. doi:10.1088/0031-9155/47/23/305
[12] G. Matsumoto, Y. Imura, H. Morii, A. Miyake and T. Aoki, “Analysis of Artifact With X-Ray CT Using Energy Band by Photon Counting CdTe Detector,” Nuclear Instruments and Methods in Physics Research A, Vol. 621, No. 1-3, 2010, pp. 292-294. doi:10.1016/j.nima.2010.05.056
[13] E. Y. Sidky, C. Kao and X. Pan, “Accurate Image Reconstruction from Few-Views and Limited-Angle Data in Divergent-Beam CT,” Journal of X-Ray Science and Technology, Vol. 14, No. 2, 2006, pp. 119-139.
[14] X. Duan, J. Cheng, L. Zhang, Y. Xing, Z. Chen and Z. Zhao, “X-Ray Cargo Container Inspection System with Few-View Projection Imaging,” Nuclear Instruments and Methods in Physics Research A, Vol. 598, No. 2, 2009, pp. 439-444. doi:10.1016/j.nima.2008.08.151.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.