A method for comparative evaluation of EIT algorithms using a standard data set.

Abstract:

:The point spread function (PSF) is the most widely used tool for quantifying the spatial resolution of imaging systems. However, prerequisites for the proper use of this tool are linearity and space invariance. Because EIT is non-linear it is only possible to compare different reconstruction algorithms using a standard data set. In this study, the FEM is used to generate simulation data, which are used to investigate the non-linear behaviour of EIT, the space dependence of its PSF and its capability of resolving nearby objects. It is found that for the case of iterative backprojection (IterB), the full width half maximum (FWHM) values of single-object perturbations for central, intermediate and peripheral high-contrast objects are 27%, 18% and 14% of the imaging region diameter respectively. For the method based on singular value decomposition of the Geselowitz lead sensitivity matrix (GS-SVD), the FWHM is not space dependent and is 12% of the imaging region diameter. Conclusions obtained using single-object PSF studies must also be checked with double-object or more complex perturbations because EIT is non-linear. For example, the GS-SVD method fails to detect two widely separated objects unless the truncation level of SVD is carefully adjusted. With more truncation, however, the resolution of the method is worsened. Based on these and similar observations a set of simulation data, which is proposed for comparative evaluation of different EIT algorithms, is specified and explained in the conclusion section.

journal_name

Physiol Meas

authors

Ider YZ,Eyüboğlu BM,Kuzuoğlu M,Leblebïcïoğlu K,Baysal U,Cağlar BK,Bïrgül O

doi

10.1088/0967-3334/16/3a/021

subject

Has Abstract

pub_date

1995-08-01 00:00:00

pages

A227-36

issue

3 Suppl A

eissn

0967-3334

issn

1361-6579

journal_volume

16

pub_type

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