Cardiac mapping of electrical impedance tomography by means of a wavelet model

DOI: 10.4236/wjcd.2013.37073   PDF   HTML     3,780 Downloads   5,547 Views  


To improve the identification of cardiac regions in Electrical impedance tomography (EIT) pulmonary perfusion images, a model of wavelet transform was developed. The main goal was to generate maps of the heart using EIT images in a controlled animal experiment using a healthy pig and in two human volunteers. The model was capable of identifying the heart regions, demonstrated robustness and generated satisfactory results. The pig images were compared to perfusion images obtained using injection of a hypertonic solution and achieved an average area of the ROC curve of 0.88. The human images were qualitatively compared with Computerized Tomography scan (CT-scan) images.

Share and Cite:

Tanaka, H. , Ortega, N. , Hovnanian, A. , Carvalho, C. and Amato, M. (2013) Cardiac mapping of electrical impedance tomography by means of a wavelet model. World Journal of Cardiovascular Diseases, 3, 464-470. doi: 10.4236/wjcd.2013.37073.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Adler, A., Amyot, R., Guardo, R., Bates, J.H.T. and Berthiaume, Y. (1997) Monitoring changes in lung air and liquid volumes with electrical impedance tomogramphy. Journal of Applied Physics, 83, 1762.
[2] Barber, D.C. (1989) A review of image reconstruction techniques for electrical impedance tomography. Medical Physics, 16, 162.
[3] Brown, B.H. (2003) Electrical impedance tomography (EIT): A review. Journal of Medical Engineering & Technology, 27, 97.
[4] Eyüboglu, B.M., Brown, B.H. and Barber, D.C. (1989) In vivo imaging of cardiac related impedance changes. IEEE Engineering in Medicine and Biology Magazine, 8, 39.
[5] Solà, J., Adler, A., Santos, A., Tusman, G., Sipmann, F.S. and Bohm, S.H. (2011) Non-Invasive Monitoring of Central Blood Pressure by Electrical Impedance Tomography: First Experimental Evidence. Medical & Biological Engineering & Computing, 49, 409.
[6] Tanaka, H., Ortega, N.R.S., Galizia, M.S., Borges, J.B. and Amato, M.B.P. (2008) Fuzzy modeling of electrical impedance tomography images of the lungs. Clinics, 63, 363.
[7] Victorino, J.A., Borges, J.B., Okamoto, V.N., Matos, G.F.J., Tucci, M.R., Caramez, M.P.R., Tanaka, H., Sipmann, F.S., Santos, D.C.B., Barbas, C.S.V., Carvalho, C.R.R. and Amato, M.B.P. (2004) Imbalances in regional lung ventilation: A validation study on electrical impedance tomography. American Journal of Respiratory and Critical Care Medicine, 169, 791.
[8] Nasehi Tehrani, J, Oh, T.I., Jin, C., Thiagalingam, A. and McEwan, A. (2012) Evaluation of different stimulation and measurement patters based on internal electrode: Application in cardiac impedance tomography. Computers in Biology and Medicine, 42, 1122.
[9] Holder, D.S. (2005) Electrical impedance tomography: Methods, history and applications. Institute of Physics Publishing, Bristol and Philadelphia.
[10] Noor, J.A.E. (2007) Electrical impedance tomography at low frequencies. MS Thesis, University of New South Wales, Australia.
[11] Alfaouri, M., Daqrouq, K. (2008) ECG signal denoising by wavelet transform thresholding. American Journal of Applied Sciences, 5, 276.
[12] Hubbard, B.B. (1998) The world according to wavelets: The story of a mathematical technique in the making. 2nd Edition, A K Peters Ltd., Natick.
[13] Frerichs, I., Hinz, J., Herrmann, P., Weisser, G., Hahn, G. and Quintel, M. (2002) Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam CT imaging. IEEE Trans Med Imaging, 21, 646.
[14] Crick, S.J., Sheppard, M.N., Ho, S.Y., Gebstein, L. and Anderson, R. (1998) Anatomy of the pig heart: Comparisons with normal human cardiac structure. Journal of Anatomy, 193, 105.

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.