Application of Synthetic Sinogram Based Low-Dose CT Simulation and Fold-Preserving Electronic Cleansing Technique for CT Colonography

  • Chang-Won Kim
  • Jong-Hyo Kim
  • Hyunna Lee
  • Jeongjin Lee
  • Se-Hyung Kim
  • Zepa Yang
  • Yeong-Gil Shin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8198)

Abstract

This study evaluates the performance of the electronic cleansing technique in ultra-low-dose CT colonography, and explores the potential limit of the dose level which hampers the proper working of the electronic cleansing.

We applied a synthetic sinogram-based low-dose CT simulation technique to the DICOM images CT colonography studies to generate a set of ultra-low-dose CT colonography dataset ranging 20, 10, 5, and 1 mAs conditions. A fold-preserving electronic cleansing technique was applied to those ultra-low-dose CT colonography (CTC) dataset and the tagging cleansing performance was evaluated for each dose-level.

Keywords

ultra-low-dose CT colonography low-dose CT simulation electronic cleansing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kim, C.W., Kim, J.H.: 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 2012. LNCS, vol. 7601, pp. 49–57. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  2. 2.
    Lee, H., Kim, B., Lee, J., Kim, S.H., Shin, Y.-G., Kim, T.-G.: Fold-preserving Electronic Cleansing using a Reconstruction Model Integrating Material Fractions and Structural Responses. IEEE Transactions on Biomedical Engineering 60(6), 1546–1555 (2013)CrossRefGoogle Scholar
  3. 3.
    Wagner, R.F., Brown, D.G., Pastel, M.S.: Application of information Theory to the assessment of computer tomography. Med. Phys. 6(2), 83–94 (1979)CrossRefGoogle Scholar
  4. 4.
    Serlie, I.W.O., Vos, F.M., Truyen, R., Post, F.H., Vliet, L.J.: Classifying CT image data into material fractions by a scale and rotation invariant edge model. IEEE Trans. Image Process. 16(12), 2891–2904 (2007)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Serlie, I.W.O., Vos, F.M., Truyen, R., Post, F.H., Stoker, J., Vliet, L.J.: Electronic cleansing for computed tomography (CT) colonography using a scale-invariant three-material model. IEEE Trans. Biomed. Eng. 57(6), 1306–1317 (2010)CrossRefGoogle Scholar
  6. 6.
    Cai, W., Zalis, M.E., Näppi, J., Harris, G.J., Yoshida, H.: Structure-analysis method for electronic cleansing in cathartic and noncathartic CT colonography. Med. Phys. 35(7), 3259–3277 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chang-Won Kim
    • 1
  • Jong-Hyo Kim
    • 2
  • Hyunna Lee
    • 3
  • Jeongjin Lee
    • 4
  • Se-Hyung Kim
    • 5
  • Zepa Yang
    • 2
  • Yeong-Gil Shin
    • 3
  1. 1.Interdisciplinary Program of BioengineeringSeoul National University College of EngineeringSeoulKorea
  2. 2.Department of Intelligent Convergence Systems, Graduate School of Convergence Science and TechnologySeoul National UniversitySuwon-siKorea
  3. 3.The School of Computer Science and EngineeringSeoul National UniversitySeoulKorea
  4. 4.The School of Computer Science and EngineeringSoongsil UniversitySeoulKorea
  5. 5.Department of RadiologySeoul National University College of MedicineSeoulKorea

Personalised recommendations