Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-10T05:15:43.820Z Has data issue: false hasContentIssue false
  • English
  • Français

Synchrotron X-ray Microtomography with Improved Image Quality by Ring Artifacts Correction for Structural Analysis of Insects

Published online by Cambridge University Press:  09 August 2017

Shengkun Yao ,
Yunbing Zong ,
Jiadong Fan ,
Zhibin Sun ,
Jianhua Zhang  and
Huaidong Jiang
Shengkun Yao
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
Yunbing Zong
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Jiadong Fan
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
Zhibin Sun
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Jianhua Zhang
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Huaidong Jiang*
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
*
*Corresponding author. jianghd@shanghaitech.edu.cn
Get access

Abstract

Ring artifacts are undesirable and complicate the analysis and interpretation of microstructures in synchrotron X-ray microtomography. Here, we propose a new method to improve the image quality of an object by removing the ring artifacts and investigate the efficiency of this process with tomographic images of a dried Tenebrio molitor. In this method, before the tomographic reconstruction, ring artifacts were identified and located in the sinograms as line artifacts. Then, the identified line artifacts were corrected as single point noise via image processing of the original projections. Eventually, the corresponding line artifacts were removed, resulting in reduced ring artifacts in the reconstructed tomographic images. Simulations verified the efficiency of the proposed method. This method was successfully applied for the structural analysis of the insect T. molitor, showing superior performance in reducing ring artifacts in the tomographic image without noticeable loss of structural information.

Keywords

synchrotron radiationtomographyinsectsstructural analysisring artifacts
Type
Instrumentation and Software
Information
Microscopy and Microanalysis , Volume 23 , Issue 5 , October 2017 , pp. 938 - 944
Copyright
© Microscopy Society of America 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abu Anas, E.M., Lee, S.Y. & Hasan, M.K. (2010). Removal of ring artifacts in CT imaging through detection and correction of stripes in the sinogram. Phys Med Biol 55(22), 6911–6930.CrossRefGoogle ScholarPubMed
Anas, E.M., Kim, J.G., Lee, S.Y. & Hasan, K. (2011a). Comparison of ring artifact removal methods using flat panel detector based CT images. Biomed Eng Online 10, 72.CrossRefGoogle ScholarPubMed
Anas, E.M., Lee, S.Y. & Hasan, K. (2011b). Classification of ring artifacts for their effective removal using type adaptive correction schemes. Comput Biol Med 41(6), 390–401.CrossRefGoogle ScholarPubMed
Baruchel, J., Buffiere, J.Y., Cloetens, P., Di Michiel, M., Ferrie, E., Ludwig, W., Maire, E. & Salvo, L. (2006). Advances in synchrotron radiation microtomography. Scripta Mater 55(1), 41–46.CrossRefGoogle Scholar
Boin, M. & Haibel, A. (2006). Compensation of ring artefacts in synchrotron tomographic images. Opt Express 14(25), 12071–12075.CrossRefGoogle ScholarPubMed
Buades, A., Coll, B. & Morel, J.M. (2005). A non-local algorithm for image denoising. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 62, pp. 60–65. New York, NY: IEEE Press Inc.CrossRefGoogle Scholar
Chen, R., Liu, P., Xiao, T. & Xu, L.X. (2014). X-ray imaging for non-destructive microstructure analysis at SSRF. Adv Mater 26(46), 7688–7691.CrossRefGoogle ScholarPubMed
Davis, G.R. & Elliott, J.C. (1997). X-ray microtomography scanner using time-delay integration for elimination of ring artefacts in the reconstructed image. Nucl Instrum Meth A 394(1–2), 157–162.CrossRefGoogle Scholar
Gonzalez, R.C. (2009). Digital Image Processing . Uttar Pradesh, India: Pearson Education.Google Scholar
Hasan, M.K., Sadi, F. & Lee, S.Y. (2010). Removal of ring artifacts in micro-CT imaging using iterative morphological filters. Signal Image Video Process 6(1), 41–53.CrossRefGoogle Scholar
Hsieh, J. (2003). Computed Tomography-Principles, Artifacts, and Recent Advances. Bellingham, WA: SPIE Publications.Google Scholar
Jacobsen, C. & Kirz, J. (1998). X-ray microscopy with synchrotron radiation. Nat Struct Biol 5(Suppl), 650–653.CrossRefGoogle ScholarPubMed
Jha, D., Sørensen, H.O., Dobberschütz, S., Feidenhans’l, R. & Stipp, S.L.S. (2014). Adaptive center determination for effective suppression of ring artifacts in tomography images. Appl Phys Lett 105(14), 143107.CrossRefGoogle Scholar
Kak, A.C., & Slaney, M. (1988). Principles of Computerized Tomographic Imaging. New York, NY: IEEE Press. Inc.Google Scholar
Kim, Y., Baek, J. & Hwang, D. (2014). Ring artifact correction using detector line-ratios in computed tomography. Opt Express 22(11), 13380–13392.CrossRefGoogle ScholarPubMed
Lee, E., Fahimian, B.P., Iancu, C.V., Suloway, C., Murphy, G.E., Wright, E.R., Castano-Diez, D., Jensen, G.J. & Miao, J. (2008). Radiation dose reduction and image enhancement in biological imaging through equally-sloped tomography. J Struct Biol 164(2), 221–227.CrossRefGoogle ScholarPubMed
Mao, Y., Fahimian, B.P., Osher, S.J. & Miao, J. (2010). Development and optimization of regularized tomographic reconstruction algorithms utilizing equally-sloped tomography. IEEE Trans Image Process 19(5), 1259–1268.CrossRefGoogle ScholarPubMed
Mayo, S., Davis, T., Gureyev, T., Miller, P., Paganin, D., Pogany, A., Stevenson, A. & Wilkins, S. (2003). X-ray phase-contrast microscopy and microtomography. Opt Express 11(19), 2289–2302.CrossRefGoogle ScholarPubMed
Miao, J.W., Forster, F. & Levi, O. (2005). Equally sloped tomography with oversampling reconstruction. Phys Rev B 72(5), 052103.CrossRefGoogle Scholar
Midgley, P.A., Ward, E.P., Hungria, A.B. & Thomas, J.M. (2007). Nanotomography in the chemical, biological and materials sciences. Chem Soc Rev 36(9), 1477–1494.CrossRefGoogle ScholarPubMed
Miqueles, E.X., Rinkel, J., O’Dowd, F. & Bermudez, J.S. (2014). Generalized Titarenko’s algorithm for ring artefacts reduction. J Synchrotron Radiat 21(Pt 6), 1333–1346.CrossRefGoogle Scholar
Mizutani, R. & Suzuki, Y. (2012). X-ray microtomography in biology. Micron 43(2–3), 104–115.CrossRefGoogle ScholarPubMed
Munch, B., Trtik, P., Marone, F. & Stampanoni, M. (2009). Stripe and ring artifact removal with combined wavelet–Fourier filtering. Opt Express 17(10), 8567–8591.CrossRefGoogle ScholarPubMed
Pelc, N.J., Pan, Y., De Carlo, F., Xiao, X., Nishikawa, R.M. & Whiting, B.R. (2012). Ring artifact removal for micro-tomography in synchrotron radiation. Proc of SPIE 2012(8313), 831329.Google Scholar
Rashid, S., Lee, S.Y. & Hasan, M.K. (2012). An improved method for the removal of ring artifacts in high resolution CT imaging. EURASIP J Adv Signal Process 2012(1), 93.CrossRefGoogle Scholar
Raven, C. (1998). Numerical removal of ring artifacts in microtomography. Rev Sci Instrum 69(8), 2978–2980.CrossRefGoogle Scholar
Rudolph, R., Williams, A. & Brunke, O. (2012). Advances in high-resolution X-ray computed tomography: Comparing the latest in cabinet-based micro-computed tomography technologies and synchrotron radiation-based tomography beamlines. Microsc Microanal 18(S2), 576–577.CrossRefGoogle Scholar
Sadi, F., Lee, S.Y. & Hasan, M.K. (2010). Removal of ring artifacts in computed tomographic imaging using iterative center weighted median filter. Comput Biol Med 40(1), 109–118.CrossRefGoogle ScholarPubMed
Seibert, J.A., Boone, J.M. & Lindfors, K.K. (1998). Flat-field correction technique for digital detectors. Proceedings of SPIE 3336, Medical Imaging 1998: Physics of Medical Imaging, San Diego, CA, July 24, 1998, pp. 348–354.CrossRefGoogle Scholar
Titarenko, S., Titarenko, V., Kyrieleis, A. & Withers, P.J. (2009). A ring artifact suppression algorithm based on a priori information. Appl Phys Lett 95(7), 071113.CrossRefGoogle Scholar
Wang, G., Yu, H.Y. & De Man, B. (2008). An outlook on x-ray CT research and development. Med Phys 35(3), 1051–1064.CrossRefGoogle ScholarPubMed
Wei, Z.P., Wiebe, S. & Chapman, D. (2013). Ring artifacts removal from synchrotron CT image slices. J Instrumentation 8(6), C06006–C06006.CrossRefGoogle Scholar
Yousuf, M.A. & Asaduzzaman, M. (2009). An efficient ring artifact reduction method based on projection data for micro-CT images. J Sci Res 2(1), 37–45.CrossRefGoogle Scholar