Skip to main content
Log in

Lung ventilation functional monitoring based on electrical impedance tomography

  • Published:
Transactions of Tianjin University Aims and scope Submit manuscript

Abstract

Medically, electrical impedance tomography (EIT) is a relatively inexpensive, safe, non-invasive and portable technique compared with computerized tomography (CT) and magnetic resonance imaging (MRI). In this paper, EIT_TJU_II system is developed including both the data collection system and image reconstruction algorithm. The testing approach of the system performance, including spatial resolution and sensitivity, is described through brine tank experiments. The images of the thorax physical model verify that the system can reconstruct the interior resistivity distribution. Finally, the lung ventilation functional monitoring in vivo is realized by EIT, and the visualized images indicate that the configuration and performance of EIT_TJU_II system are feasible and EIT is a promising technique in clinical monitoring application.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Barber D C, Brown B H. Information Processing in Medical Imaging: Recent Development in Applied Potential Tomography—APT[M]. Bacharach S L ed. Nijhoff, 1986. 106–121.

  2. Frerichs I. Electrical impedance tomography (EIT) in applications related to lung and ventilation: A review of experimental and clinical activities[J]. Physical Measurement, 2000, 21(2): R1–R21.

    Article  Google Scholar 

  3. Holder D S. Electrical Impedance Tomography Methods, History and Applications[M]. Institute of Physics Publishing, Bristol and Philadelphia, 2004.

    Google Scholar 

  4. Brown B H, Barber D C, Seagar A D. Applied potential tomography: Possible clinical application[J]. Clin Phys Physiol Meas, 1985, 6: 109–121.

    Article  Google Scholar 

  5. Brown B H. Electrical Impedance Tomography (EIT): A review[J]. Med Eng Technol, 2003, 27(3): 97–108.

    Article  Google Scholar 

  6. Barbas C S, de Matos G F, Okamoto V et al. Lung recruitment maneuvers in acute respiratory distress syndrome[J]. Resir Care Clin N Am, 2003, 9: 401–418.

    Google Scholar 

  7. Hinz J, Hahn G, Neumann P. End-expiratory lung impedance change enables bedside monitoring of end-expiratory lung volume change[J]. Intensive Care Med, 2003, 29: 37–43.

    Google Scholar 

  8. Nebuya S, Noshiro M, Yonemoto A et al. Study of the optimum level of electrode placement for the evaluation of absolute lung resistivity with the Mk3. 5 EIT system[J]. Physical Measurement, 2006, 27: S129–S137.

    Article  Google Scholar 

  9. Barber D C, Brown B H. Applied potential tomography[ J]. Phy E: Sci Instrum, 1984, 17: 723–733.

    Article  Google Scholar 

  10. Fu Feng, Dong Xiuzhen, You Fusheng et al. A dynamic reconstruction algorithm in a real-time electrical impendency tomography imaging system[J]. Beijing Biomedical Engineering, 2003, 22(2): 109–112(in Chinese).

    Google Scholar 

  11. Breckon W R, Pidcock M K. Mathematical aspects of impedance imaging[J]. Clin Phys Physiol Meas, 1987, 8(Suppl A): 77–84.

    Article  Google Scholar 

  12. Vauhkonen M. Electrical Impedance Tomography and Prior Information[D]. Department of Physics, University of Kuopio, Finland, 1997.

    Google Scholar 

  13. Hansen P C. Analysis of discrete ill-posed problems by means of the L-curve[J]. SIAM Rev, 1992, 34(4): 561–580.

    Article  MATH  MathSciNet  Google Scholar 

  14. Hansen P C, O’Leary D P. The use of the L-curve in the regularization of discrete ill-posed problems[J]. SIAM J Aci Comput, 1993, 14(6): 1487–1503.

    Article  MATH  MathSciNet  Google Scholar 

  15. Victorino J A, Borges J B, Okamoto V N et al. Imbalances in regional lung ventilation: A validation study on electrical impedance tomography[J]. American Journal of Respiratory and Critical Care Medicine, 2004, 169(7): 791–800.

    Article  Google Scholar 

  16. Luepschen H, Meier T, Grossherr M et al. Protective ventilation using electrical impedance tomography[J]. Physiol Meas, 2007, 28: S247–S260.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huaxiang Wang  (王化祥).

Additional information

Supported by National Natural Science Foundation of China (No.60820106002, No.60532020) and Tianjin Natural Science Foundation (No.08JCYBJC03500).

CHEN Xiaoyan, born in 1973, female, doctorate student.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, X., Wang, H., Zhao, B. et al. Lung ventilation functional monitoring based on electrical impedance tomography. Trans. Tianjin Univ. 15, 7–12 (2009). https://doi.org/10.1007/s12209-009-0002-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12209-009-0002-9

Keywords

Navigation