Skip to main content
SpringerLink
Log in

An Epipolar Based Algorithm for Respiratory Signal Extraction of Small Animal CT

  • Original Paper
  • Published:
Sensing and Imaging Aims and scope Submit manuscript

Abstract

A respiratory signal extraction algorithm of small animal CT is presented in this paper. Based on the epipolar geometry, this algorithm uses the redundancies in X-ray imaging system to determine the phase of certain projection image in a breathing cycle by calculating the consistency relationship between two projection images. Other than the respiratory gating method supported by hardware, the respiratory signals by this algorithm come only from analysis of the projection images. The simulation results and in vivo experiments demonstrate the reliability and validity of the proposed method, and when the chosen projection images are guided by this respiratory signal, the reconstruction outcome indicates that the streak artifacts brought by the movements of objects are successfully suppressed.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Feldkamp, L. A., Davis, L. C., & Kress, J. W. (1984). Practical cone-beam algorithm. JOSA A, 1(6), 612–619.

    Article  Google Scholar 

  2. Cavanaugh, D., Johnson, E., Price, R. E., et al. (2004). In vivo respiratory-gated micro-CT imaging in small-animal oncology models. Molecular Imaging, 3(1), 55–62.

    Article  Google Scholar 

  3. Farncombe, T. H. (2008). Software-based respiratory gating for small animal conebeam CT. Medical Physics, 35(5), 1785.

    Article  Google Scholar 

  4. Ford, N. L., Nikolov, H. N., Norley, C. J., et al. (2005). Prospective respiratory-gated micro-CT of free breathing rodents. Medical Physics, 32(9), 2888.

    Article  Google Scholar 

  5. Aichert, A., Maass, N., Deuerling-Zheng, Y., Berger, M., Manhart, M., Hornegger, J. et al. (2014). Redundancies in X-ray images due to the epipolar geometry for transmission imaging. In Third CT Meeting (pp. 333–337).

  6. Aichert, A., Berger, M., Wang, J., Maass, N., Doerfler, A., Hornegger, J., et al. (2015). Epipolar consistency in transmission imaging. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2015.2426417.

    Article  Google Scholar 

  7. Debbeler, C., Maass, N., Elter, M., Dennerlein, F., & Buzug, T. M. (2013). A new ct rawdata redundancy measure applied to automated misalignment correction. In Proceedings of the fully three-dimensional image reconstruction in radiology and nuclear medicine (p. 264).

  8. Grangeat, P. (1991). Mathematical framework of cone beam 3D reconstruction via the first derivative of the radon transform, ser. Lecture Notes in Mathematics (Vol. 1497, pp. 66–97). Berlin: Springer.

    MATH  Google Scholar 

  9. Stolfi, J. (1991). Oriented projective geometry: A framework for geometric computations. Boston: Academic Press.

    MATH  Google Scholar 

  10. Unberath, M., Aichert, A., Achenbach, S., et al. (2017). Consistency-based respiratory motion estimation in rotational angiography. Medical Physics, 44(9), e113.

    Article  Google Scholar 

  11. Van, A. W., Palenstijn, W. J., De, B. J., et al. (2015). The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography. Ultramicroscopy, 157, 35–47.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Key R&D Program of China (2017YFA0104302), and Collaborative Innovation Center of Suzhou Nano Science and Technology of Southeast University.

Author information

Authors and Affiliations

  1. School of Biological Science and Medical Engineering, Southeast University, Nanjing, China

    Shuang Luo & Shouhua Luo

Authors
  1. Shuang Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shouhua Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shuang Luo.

Additional information

This article is part of the Topical Collection on Recent Developments in Sensing and Imaging.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 19 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, S., Luo, S. An Epipolar Based Algorithm for Respiratory Signal Extraction of Small Animal CT. Sens Imaging 19, 4 (2018). https://doi.org/10.1007/s11220-018-0187-x

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1007/s11220-018-0187-x

Keywords

Search

Navigation