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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© 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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