Skip to main content
Log in

Calibration method for microscale stereo X-ray imaging system

  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

Calibration of an X-ray imaging system involves estimation of the 3D geometrical configuration of the system components. Here, we propose a calibration method for stereo X-ray imaging systems, which capture two X-ray images at two orthogonal positions. The calibration parameters include the relation between image coordinates and world coordinates, the relative 3D positions of the X-ray source and detector, and the rotational axis of the stereo X-ray system. The average error of the proposed calibration method was determined to be approximately 0.03% in evaluation tests.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

Π f :

front plane near the X-ray source of the two calibration planes of the calibration cube

Π b :

back plane in contact with the detector of the two calibration planes of the calibration cube

cp f,i (cp b,i ):

calibration points on Π f (Π b ) (i=1,...,n)

cp f,i :

cp f,i ’s projected points on the detector

l i :

projecting lines passing both cp f,i and cp f,i

State 1 :

State of stereo X-ray system before rotating 90°

State 2 :

State of stereo X-ray system after rotating 90°

I 1 (I 2 ):

X-ray image at State 1 (State 2)

CF :

calibration frame

fp i :

calibration points of CF (i=1,...,n)

fp 1,i :

image coordinates of fp i in actual radiograph I 1

fp 1,i :

image coordinates computed by projecting fp i onto the detector at any assumed position of CF

Ω:

rotating axis of stereo X-ray system

Ω* dir (Ω* pivot ):

direction vector (pivot point) of estimated Ω

t f * (r f *):

estimated translations (rotations) of CF

I 2 :

X-ray image obtained from hypothesized X-ray system

fp 2,i :

image coordinates calculated after projecting fp i in I 2

fp 2,i :

image coordinates of fp i in actual radiograph I 2

X n,src :

X-ray source position at State n (n=1,2)

D n,cen :

center of detector at State n (n=1,2)

D n,up :

upvector of detector at State n (n=1,2)

References

  1. Stock, S. R., “Micro Computed Tomography: Methodology and Applications,” CRC Press, 2008.

  2. Huang, R., Ma, K. L., McCormick, P., and Ward, W., “Visualizing industrial CT volume data for non-destructive testing applications,” Proc. of the IEEE Visualization, pp. 547–554, 2003.

  3. Kim, Y. J., Kim, W. T., Choi, J. H., Son, T. G., Lee, S. B., and Lee, K. W., “Volume data inspection tools for industrial computed tomography,” WORLDCOMP’09, 2009.

  4. Weiss, P., Le Nihouannen, D., Rau, C., Pilet, P., Aguado, E., Gauthier, O., Jean, A., and Daculsi, G., “Synchrotron and non synchrotron X-ray microtomography three-dimensional representation of bone ingrowth in calcium phosphate biomaterials,” European Cells and Materials, Vol. 9,Suppl. 1, pp. 48–49, 2005.

    Google Scholar 

  5. Kim, Y. J., Kim, K. I., Choi, J. H., and Lee, K. W., “Novel methods for 3D postoperative analysis of total knee arthroplasty using 2D–3D image registration,” Clinical Biomechanics, Vol. 26, No. 4, pp. 384–391, 2011.

    Article  MathSciNet  Google Scholar 

  6. You, B. M., Siy, P., Anderst, W., and Tashman, S., “In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: application to knee kinematics,” IEEE Trans. Med. Imaging, Vol. 20, No. 6, pp. 514–525, 2001.

    Article  Google Scholar 

  7. Myung, D. K., Kim, Y. J., Choi, J. H., and Lee, K. W., “Scaled Attenuation Fields: Improved Real-time Generation Method for Digitally Reconstructed Radiographs,” Int. J. Precis. Eng. Manuf., Vol. 11, No. 5, pp. 791–798, 2010.

    Article  Google Scholar 

  8. Russakoff, D. B., Rohlfing, T., Mori, K., Rueckert, D., Ho, A., Adler, J. R., and Maurer, C. R., “Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D–3D image registration,” IEEE Trans. Med. Imaging, Vol. 24, No. 11, pp. 1441–1454, 2005.

    Article  Google Scholar 

  9. Bollet, M. A., McNair, H. A., Hansen, V. N., Norman, A., O’Doherty, U., Taylor, H., Rose, M., Mukherjee, R., and Huddart, R., “Can digitally reconstructed radiographs (DRRs) replace simulation films in prostate cancer conformal radiotherapy?” International Journal of Radiation Oncology, Biology, Physics, Vol. 57, No. 4, pp. 1122–1130, 2003.

    Article  Google Scholar 

  10. Valstar, E. R., Nelissen, R. G. H. H., Reiber, J. H. C., and Rozing, P. M., “The use of Roentgen stereophotogrammetry to study micromotion of orthopaedic implants,” ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 56, No. 5–6, pp. 376–389, 2002.

    Article  Google Scholar 

  11. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P., “Numerical Recipes in C++: The Art of Scientific Computing, 2nd ed.,” Cambridge University Press, pp. 417–424, 2001.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jong-Hyeong Kim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, Y., Kim, W., Park, S. et al. Calibration method for microscale stereo X-ray imaging system. Int. J. Precis. Eng. Manuf. 13, 877–882 (2012). https://doi.org/10.1007/s12541-012-0114-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-012-0114-3

Keywords

Navigation