Skip to main content

Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7601)

Abstract

A low-dose CT simulation technique is presented which might allow for a virtual ultra-low-dose trial in CT colonography without requiring raw sinogram data. A virtual sinogram is generated by performing the line integral of the CT number-based attenuation value with use of the CT scan parameters available in the DICOM header and in the literature. A separate noise sinogram is generated with use of a noise model, which incorporates the X-ray photon flux depending on the mAs, system electronic noise, and virtual sinogram. A synthetic noise CT image is generated by application of the filtered back projection of the noise sinogram with use of an appropriate filter that depends on the reconstruction kernel of the original CT. Finally, a simulated low-dose CT image is generated by addition of the CT data for the synthetic noise to the original CT data. Clinical CT colonography images with and without fecal tagging were used as simulation input and 50%, 25%, and 12.5% dose images were generated and evaluated. Our results suggest that the proposed CT simulation technique has potential for application in virtual ultra-low-dose trial in CT colonography in which an unlimited number of scan protocols could be performed without repetition of the real CT exposure to the patients.

Keywords

  • Algorithmic modulation transfer
  • noise power spectrum
  • low-dose simulation
  • filtered back projection

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wagner, R.F., Brown, D.G., Pastel, M.S.: Application of Information Theory to the Assessment of Computed Tomography. Med. Phys. 6, 83–94 (1979)

    CrossRef  Google Scholar 

  2. Whiting, B.R., Massoumzadeh, P., Earl, O.A., O’Sullivan, J.A., Snyder, D.L., Williamson, J.F.: Properties of Preprocessed Sinogram Data in X-Ray Computed Tomography. Med. Phys. 33, 3290–3303 (2006)

    CrossRef  Google Scholar 

  3. Boedeker, K.L., Cooper, V.N., McNitt-Gray, M.F.: Application of the Noise Power Spectrum in Modern Diagnostic MDCT: Part I. Measurement of Noise Power Spectra and Noise Equivalent Quanta. Phys. Med. Biol. 52, 4027–4046 (2007)

    CrossRef  Google Scholar 

  4. Brenner, D.J., Hall, E.J.: Computed Tomography - An Increasing Source of Radiation Exposure. N. Engl. J. Med. 357, 2277–2284 (2007)

    CrossRef  Google Scholar 

  5. Massoumzadeh, P., Don, S., Hildebolt, C.F., Bae, K.T., Whiting, B.R.: Validation of CT Dose-Reduction Simulation. Med. Phys. 36, 174–189 (2009)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, C.W., Kim, J.H. (2012). Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2012. Lecture Notes in Computer Science, vol 7601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33612-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33612-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33611-9

  • Online ISBN: 978-3-642-33612-6

  • eBook Packages: Computer ScienceComputer Science (R0)