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

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We developed an Intravascular Impedance Catheter (2DIIC. 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.

Cite

CITATION STYLE

APA

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1230, pp. 57–70). Springer Verlag. https://doi.org/10.1007/3-540-63046-5_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free