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2D intravascular E.I.T. using a non-iterative, non-linear reconstruction algorithm

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Information Processing in Medical Imaging (IPMI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

Abstract

We developed an Intravascular Impedance Catheter (2D-IIC) together with a non-iterative, non-linear reconstruction algorithm, capable of assessing a series of 2D discretized images of the impedance distribution of the arterial wall.

The 2D-IIC uses a differential measurement technique based on our early version of the IIC [1], but features two new elements: asymetrically placed electrodes and a rotational motion of the catheter around its longitudinal axis. This transforms the original 1D technique into a tomographic 2D imaging device. Because of these extensions however, the Finite Element or Boundary Element calculations that solve the forward problem in Newton-like reconstruction algorithms would be prohibitively timeconsuming.

In this paper we first decribe the 2D-IIC, and subsequently formulate a new, non-linear, algorithm solving the inverse problem non-iteratively. This algorithm exploits the algorithmic possibilities offered by the differential measurement technique and combines the Clausius-Mosotti approximation for field distortion with a modified Boundary Element method. Furthermore we provide a mathematical foundation for the validity of this method when applied to the 2D-IIC, and describe more generally its applicability to E.I.T.-techniques that involve a differential measurement.

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References

  1. M.K. Konings, W.P.Th.M. Mali, M.A. Viergever, ”Design of a robust strategy to measure intravascular electrical impedance”, In: Y. Bizais, C. Barillot, R. di Paola (eds): Information Processing in Medical Imaging, Kluwer Academic Publishers, pp. 1–12, june 1995.

    Google Scholar 

  2. V. Fuster, L. Badimon, J.J. Badimon, J.H. Chesebro, ”The pathogenesis of coronary artery disease and the acute coronary syndromes”, New Engl. J. Med., vol.326, No.4 pp.242–250 & No.5 pp.310–318, 1992.

    PubMed  Google Scholar 

  3. E.J. Gussenhoven, C.E. Essed, C.T. Lancee, F. Mastik, P. Frietman, N. Bom; ”Arterial wall characteristics determined by intravascular ultrasound imaging: an in vitro study”, J Am Coll Cardiol 14, pp.947–952, 1989.

    PubMed  Google Scholar 

  4. C.J. Slager, A.C. Phaff, C.E. Essed, N. Bom, J.C.H. Schuurbiers, P.W. Serruys, ”Electrical impedance of layered atherosclerotic plaques on human aortas”, IEEE Trans. Biomed. Eng. 39, pp.411–419, 1992.

    PubMed  Google Scholar 

  5. F.C. VanEgmond, W. Li, E.J. Gussenhoven, C.T. Lancee, “Catheter Displacement Sensing Device”, Thoraxcentre Journal vol.6/2, Rotterdam, 1994.

    Google Scholar 

  6. K.R. Visser, R. Lamberts, H.H.M. Korsten, W.G. Zijlstra, “Observations on blood flow related electrical impedance changes in rigid tubes”, Pfluegers Arch., vol.366: 289–291, 1976.

    Google Scholar 

  7. J.D. Jackson, “Classical Electrodynamics”, 2nd edition, J. Wiley, New York, 1975.

    Google Scholar 

  8. G.H. Golub, C.F. van Loan, ”Matrix Computations”, John Hopkins, 1989.

    Google Scholar 

  9. T.F. Oostendorp, A. van Oosterom, “The Surface Laplacian of the Potential: Theory and Application”, IEEE Trans. Biomed. eng., vol.43, no.4: 394–405, april 1996.

    PubMed  Google Scholar 

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James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Konings, M.K., Bouma, C.J., Mali, W.P.T.M., Viergever, M.A. (1997). 2D intravascular E.I.T. using a non-iterative, non-linear reconstruction algorithm. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_5

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  • DOI: https://doi.org/10.1007/3-540-63046-5_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

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