Skip to main content

Advertisement

Log in

Body size and tube voltage-dependent guiding equations for optimal selection of image acquisition parameters in clinical X-ray imaging

  • Published:
Radiological Physics and Technology Aims and scope Submit manuscript

Abstract

The purpose of this work was to present body size and tube voltage-dependent equations for optimal selection of image acquisition parameters in guiding clinical X-ray imaging. The dose output of X-ray tubes was expressed as a function of the image acquisition parameters of tube voltage (kVp), tube current–exposure time product (mAs), and body size (d). Dose power (n) to kVp was determined to be a linear function of body size in an earlier phantom study. Tube voltage-dependent attenuation coefficients of water were used to determine the kVp effect on the depth dose of X-rays from the body’s entrance surface. The new expression for the dose output of X-ray tubes in patients was then employed for image quality and radiation dose optimization, assuming that image quality is a logistic function of the radiation dose to patients. For constant kVp, the percentage of mAs increase for a 1-cm increase in body size d is dependent on the kVp applied. For constant mAs, the percentage of kVp increase for a 1-cm increase in body size is dependent on both body size d and the kVp applied. For constant body size, the percentage of kVp increase should be a fraction of the percentage of decrease in the mAs, where the fraction is dependent on the body size. The improved body size and tube voltage-dependent governing equations for variations in X-ray imaging parameters should be more accurate in guiding optimal selection of the kVp and mAs image acquisition parameters in medical X-ray imaging.

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

References

  1. Huda W, Abrahams RB. Radiographic techniques, contrast, and noise in X-ray imaging. AJR. 2015;204:W126–31.

    Article  PubMed  Google Scholar 

  2. Kalender WA, Wolf K, Suess C. Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements. Med Phy. 1999;26(11):2248–53.

    Article  CAS  Google Scholar 

  3. Ching W, Robinson J, McEntee M. Patient-based radiographic exposure factor selection: a systematic review. J Med Rad Sci. 2014;61:176–90.

    Article  Google Scholar 

  4. Van der Plaats GJ. Medical X-ray techniques in diagnostic radiology. London: The Macmillan Press Ltd; 1980.

    Book  Google Scholar 

  5. AAPM task group 116. An exposure indicator for digital radiography. College Park: American association of physicists in medicine; 2009. ISBN 978-1-888340-86-0.

    Google Scholar 

  6. Herrmann TL, Fauber TL, Gill J, Hoffman C, Orth DK, Peterson PA, Prouty RR, Woodward AP, Odle TG. Best practices in digital radiography. Radiol Technol. 2012;84:83–9.

    PubMed  Google Scholar 

  7. Soderberg M, Gunnarsson M. Automatic exposure control in computed tomography—an evaluation of system from different manufacturers. Acta Radiol. 2010;6:625–34.

    Article  Google Scholar 

  8. Spearman JV, Schoepf UJ, Rottenkolber M, Driesser I, Canstein C, Thierfelder KM, Krazinski AW, De Cecco CN, Meinel FG. Effect of Automated attenuation-based tube voltage selection on radiation dose at CT: an observational study on a global scale. Radiology. 2016;279(1):167–74.

    Article  PubMed  Google Scholar 

  9. Wambersie A. Radiation quantities and units, dose to the patients, and image quality in computed tomography (CT). European Commission Directorate-General for Research; EUR 23464; 2008. https://www.cordiseuropa.eu/project/rcn/75837_en.html. Accessed 16 Apr 2018.

  10. Zheng X. Attenuation based governing equations for automatic mAs and kVp controls in medical X-ray CT imaging. CT Theory Appl. 2016;25(6):625–32.

    Google Scholar 

  11. Zheng X. Patient size based guiding equations for automatic mAs and kVp selections in general medical X-ray projection radiography. Radiat Prot Dosim. 2017;174(4):545–50.

    CAS  Google Scholar 

  12. Zheng X. General equations for optimal selection of diagnostic image acquisition parameters in clinical X-ray imaging. Radiol Phys Technol. 2017;10:415–21.

    Article  PubMed  Google Scholar 

  13. AAPM task group 204. Size-specific dose estimates (SSDE) in paediatric and adult body CT examinations. College Park: American association of physicists in medicine; 2011. ISBN 978-1-936366-08-8.

    Google Scholar 

  14. Zheng X, Nardi L, Murray M. Size effect on dose output in phantoms of X-ray tubes in medical X-ray imaging. Biomed Phys Eng Express. 2017;3:065004.

    Article  Google Scholar 

  15. NIST (n, d) X-ray mass attenuation coefficients—water, liquid. https://physics.nist.gov/PhysRefData/XrayMassCoef/ComTab/water.html. Accessed 26 Sep 2017.

  16. ICRU Radiation dose and image quality assessment in computed tomography. J ICRU 12 (2012) report 87.

  17. Williams MB, Krupinski EA, Strauss KJ, Breeden WK, Rzeszotarski MS. Digital radiography image quality: image acquisition. J Am Coll Radiol. 2007;4:37–88.

    Article  Google Scholar 

  18. Zheng X, Chiang H-W, Li J-H, Chiang H-J, Lin L-H. Personal exposure prescription method reduces dose in radiography. Radiol Technol 2018;89(5) (In press).

  19. Zheng, X. A method and system for automating radiation dose parameters. Australian patent: AU2016902943. 27-07-2016.

  20. European commission. European guideline on quality criteria for diagnostic radiographic images in paediatrics. Luxemburg: Office for official publications of the European communities; 1996. ISBN 92-827-7843-6.

    Google Scholar 

Download references

Acknowledgements

I would like to thank the Journal Editor for English editorial assistance and my colleague Mr. Andrew Kilgour for critical reading of and comments on this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoming Zheng.

Ethics declarations

Conflict of interest

The author declares that there is no conflict of interest in this work.

Research involving human or animal participants

This article does not report any studies involving human participants or animals performed by the author.

Informed consent

Informed consent is not required.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, X. Body size and tube voltage-dependent guiding equations for optimal selection of image acquisition parameters in clinical X-ray imaging. Radiol Phys Technol 11, 212–218 (2018). https://doi.org/10.1007/s12194-018-0457-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12194-018-0457-2

Keywords

Navigation