Skip to main content
SpringerLink
Log in

Metal Artefact Reduction from CT Images Using Matlab

  • Conference paper
  • First Online:
Proceedings on 18th International Conference on Industrial Systems – IS’20 (IS 2020)

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Included in the following conference series:

  • 782 Accesses

Abstract

Artefacts are common threats in computed tomography images, which deteriorate the image quality and limit the diagnostic value of the examination that results in lower treatment outcomes. Degradation of CT image quality is happening due to the metal implants, which are shown as dark and bright streaks across the image. Beam hardening and photon starvation are main reasons for presence of artefacts in CT images caused by dental fillings, surgical clips, artificial hips etc. Metal artefact reduction methods have been one of the most common subjects of recent research in the field of medical imaging. The aim of this paper is to propose a methodology for artefacts reduction using Matlab, which benefits the suppression of artefacts in the image domain. Reconstruction of images is based on thresholding techniques and manipulation of pixel data to accomplish the correction of CT images. Results show that it is possible to reduce streaking artefacts and thus enhance medical image quality.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Similar content being viewed by others

References

  1. Veikutis, V., et al.: Artifacts in computer tomography imaging: how it can really affect diagnostic image quality and confuse clinical diagnosis? J. Vibroeng. 17, 995–1003 (2015)

    Google Scholar 

  2. Mahesh, M.: MDCT Physics: The Basics: Technology. Image Quality and Radiation Dose. Lippincott Williams & Wilkins, Philadelphia (2012)

    Google Scholar 

  3. Gjesteby, L., et al.: Metal artifact reduction in CT: where are we after four decades? IEEE Access 4, 5826–5849 (2016)

    Article  Google Scholar 

  4. Katsura, M., Sato, J., Akahane, M., Kunimatsu, A., Abe, O.: Current and novel techniques for metal artifact reduction at CT: practical guide for radiologists. Radiographics 38, 450–461 (2018)

    Article  Google Scholar 

  5. Anderla, A., Culibrk, D., Delso, G.: Metal artifact reduction from CT images using complementary MR images. In: TELSIKS 2013, pp. 337–340 (2013)

    Google Scholar 

  6. Luzhbin, D., Wu, J.: Model image-based metal artifact reduction for computed tomography. J. Digit. Imaging 33(1), 71–82 (2019). https://doi.org/10.1007/s10278-019-00210-6

    Article  Google Scholar 

  7. Reinert, C.P., Fougere, C.L., Nikolaou, K., Pfannenberg, C., Gatidis, S.: Value of CT iterative metal artifact reduction in PeT/CT—clinical evaluation in 100 patients. Br. J. Radiol. 92, 20180756 (2019)

    Article  Google Scholar 

  8. Zhang, Y., Yan, H., Jia, X., Yang, J., Jiang, S.B., Mou, X.: A hybrid metal artifact reduction algorithm for x-ray CT. Med. Phys. 40(4), 041910 (2013)

    Article  Google Scholar 

  9. Varmedja, D., Karanovic, M., Sladojevic, S., Arsenovic, M., Anderla, A.: Credit card fraud detection-machine learning. In: 18th International Symposium INFOTEH-JAHORINA (2019)

    Google Scholar 

  10. Arsenović, M., Sladojević, S., Anderla, A., Stefanović, D.: Deep learning driven plates recognition system. In: 17th International Scientific Conference Industrial Systems (2017)

    Google Scholar 

  11. Ghani, M.U., Karl, W.C.: Fast enhanced CT metal artifact reduction using data domain deep learning. IEEE Trans. Comput. Imaging 6, 181–193 (2019)

    Article  Google Scholar 

  12. Hegazy, M.A.A., Cho, M.H., Cho, M.H., Lee, S.Y.: U-net based metal segmentation on projection domain for metal artifact reduction in dental CT. Biomed. Eng. Lett. 9(3), 375–385 (2019). https://doi.org/10.1007/s13534-019-00110-2

    Article  Google Scholar 

  13. Zhang, Y., Yu, H.: Convolutional neural network based metal artifact reduction in x-ray computed tomography. IEEE Trans. Med. Imaging 37(6), 1370–1381 (2018)

    Article  Google Scholar 

  14. Trbalić-Šerifović, A., Trbalić, A., Demirović, D., Skejić, E., Gleich, D.: CT Metal Artefacts Reduction Using Convolutional Neural Networks, International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 251–255 (2019)

    Google Scholar 

  15. Anderla, A., Sladojevic, S., Delso, G., Culibrk, D., Mirkovic, M., Stefanovic, D.: Suppression of metal artefacts in CT using virtual sinograms and corresponding MR images. Curr. Sci. 112(7), 1505–1511 (2017)

    Article  Google Scholar 

  16. Kumar, A., Tiwari, A.: A comparative study of otsu thresholding and k means algorithm of image segmentation. Int. J. Eng. Tech. Res. (IJETR) 9, 2454–4698 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad, Serbia

    Andrea Gutai, Dunja Sekulić & Ivana Spasojević

Authors
  1. Andrea Gutai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dunja Sekulić
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ivana Spasojević
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andrea Gutai .

Editor information

Editors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Bojan Lalic

  2. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Danijela Gracanin

  3. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Nemanja Tasic

  4. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Nenad Simeunović

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gutai, A., Sekulić, D., Spasojević, I. (2022). Metal Artefact Reduction from CT Images Using Matlab. In: Lalic, B., Gracanin, D., Tasic, N., Simeunović, N. (eds) Proceedings on 18th International Conference on Industrial Systems – IS’20. IS 2020. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-97947-8_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-97947-8_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97946-1

  • Online ISBN: 978-3-030-97947-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation