Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


In electrical impedance tomography (EIT), current patterns are injected into a subject and boundary voltages are measured to reconstruct a cross-sectional image of resistivity distribution. Static EIT image reconstruction requires a computer model of a subject, an efficient data-collection method and robust and fast reconstruction algorithms. The finite-element method is used as the computer model. The paper describes the finite-element analysis software package developed, including an interactive graphical mesh generator and fast algorithms for solving linear systems of equations using sparse-matrix and vector techniques. Various models of irregularly shaped subjects are developed using mesh-design tools, including automatic mesh generation and optimisation using the Delaunay algorithm. Even though the software package is customised for use in electrical impedance tomography, it can be used for other biomedical research areas, such as impedance cardiography, cardiac defibrillation and impedance pneumography.

References 


Articles referenced by this article (36)

  • Alvarado, F. L. (1977): ‘Computational complexity of operations involving perfect elimination sparse matrices’,Int. J. Comput. Math.,6, pp. 69–82


  • Blilie, D. E., Kim, Y., Haynor, D. H., andChan, C. (1992): ‘Generation of an anatomically correct human thorax finite element model’, Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., Paris, France,14, pp. 653–654

  • Burnett, D. S. (1987): ‘Finite element analysis: from concepts to applications’ (Addison-Wesley, Reading, Massachusetts)

  • Carter, B. L., Morehead, J., Wolpert, S. M., Hammfrschlag, S. B., Griffiths, H. J., andKahn, P. C. (1977): ‘Cross-sectional anatomy—computed tomography and ultrasound correlation’ Appleton-Century-Crofts, New York

  • Cendes, Z. J., Shenton, D., andShahnasser, H. (1983): ‘Magnetic field computation using Delaunay triangulation and complementary finite element methods’,IEEE Trans.,MAG-19, pp. 2551–2554.

  • Cheney, M., Isaacson, D., Somersalo, E. J., andIsaacson, E. L. (1992): ‘Layer-stripping reconstruction algorithm for impedance imaging.’ Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Sci.,14, Paris, France, pp. 1694–1695

  • Duff, I. S., Erisman, A. M., andReid, J. K. (1986): ‘Direct methods for sparse matrices’ (Oxford University Press, New York

  • George, A., andLiu, J. W. (1981): ‘Computer solution of large sparse positive definite systems’ Prentice-Hall, Englewood Cliffs, NJ

  • Gibbs, N. E., Poole, W. G. Jr., andStockmeyer, P. K. (1976): ‘An algorithm for reducing the bandwidth and profile of a sparse matrix’,SIAM J. Numer. Anal.,13, pp. 236–250

Show 10 more references (10 of 36)

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

Article citations


Go to all (10) article citations