Skip to main content

Cone-Beam Computed Tomography Image Reconstruction Based on GPU

  • Chapter
  • First Online:
Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

  • 167 Accesses

Abstract

As so long, three-dimensional cone-beam computed tomography(CBCT) image reconstruction is a hot issue in medical imaging field. Often the computation operation of CBCT reconstruction is huge and the reconstruction time is long. Now with the development of computer technology, especially the rapid development of Graphics Processing Unit (GPU) based general-purpose computing technology enables fast CBCT reconstruction possible. In this paper, a CBCT reconstruction algorithm-ordered subset expectation maximization (OSEM) based on GPU is developed. Experiment on the Shepp-logan phantom model showed that a good speedup is received.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Feldkamp, L.A., Davis, L.C., Kress, J.W.: Practical cone beam algorithm. Journal Of Optical Society America A 1, 612–619 (1984)

    Article  Google Scholar 

  2. Gordon, R., Bender, R., Herman, G.T.: Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. Journal of Theoretical Biology 29, 471–481 (1970)

    Article  Google Scholar 

  3. Andersen, A.H., Kak, A.C.: Simultaneous algebraic reconstruction technique (SART). Ultrasound Imaging 6, 81–94 (1984)

    Article  Google Scholar 

  4. Sheep, L.A., Vardi, Y.: Maximum likelihood reconstruction for emission tomography. IEEE Transactions on Medical Imaging 2, 113–122 (1982)

    Article  Google Scholar 

  5. Hudson, H.M., Larkin, R.S.: Accelerated Image reconstruction using ordered Subsets of Projection Data. IEEE Transactions on Medical Imaging 13(4), 601–609 (1994)

    Article  Google Scholar 

  6. Mueller, K.: Fast and accurate three-dimensional reconstruction from cone-beam projection data using algebraic methods (1998)

    Google Scholar 

  7. Dai, Z., Chen, Z., Xing, Y.: Accelerated 3-D T-FDK reconstruction algorithm using the commordity graphics hardware. Journal of TsingHua University 46(9), 1589–1592 (2006)

    Google Scholar 

  8. Ray-BoxIntersection, http://www.siggraph.org/education/materials/HyperGraph/raytrace/rtinter0.htm

  9. 3D Shepp-Logan phantom, http://tomography.o-x-t.com

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongwei Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this chapter

Cite this chapter

Xu, H., Jia, F., Chen, W., Zhang, X. (2012). Cone-Beam Computed Tomography Image Reconstruction Based on GPU. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_108

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25789-6_108

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics