Publication detail

Influence of Noise in Tissue Image Reconstruction

KŘÍŽ, T. OSTANINA, K.

Original Title

Influence of Noise in Tissue Image Reconstruction

Type

conference paper

Language

English

Original Abstract

This paper describes the examination of new techniques for image reconstruction in electrical impedance tomography (EIT) in view of its influence to noise suppression. The examination was performed with respect to utilization in biomedical engineering. It is well known that while the forward problem is a well-posed task, the inverse problem is nonlinear and usually an ill-posed task. The presence of noise has huge impact on quality of image reconstruction. The recently described methods are based on deterministic or stochastic approach to solve 2D problems mainly. New technique, which uses the combination of well known methods for reconstruction EIT images - Tikhonov Regularization Method (TRM) and method used for image segmentation are presented. The presence of several noise magnitude levels is lead in and its influence on reconstructed image quality is observed. Numerical results of the image reconstruction procedures are presented and compared.

Keywords

EIT, tissue, image reconstruction

Authors

KŘÍŽ, T.; OSTANINA, K.

RIV year

2010

Released

24. 5. 2010

ISBN

978-80-554-0196-6

Book

Elektro 2010 proceedings

Pages from

53

Pages to

56

Pages count

4

BibTex

@inproceedings{BUT29163,
  author="Tomáš {Kříž} and Ksenia {Kořínková}",
  title="Influence of Noise in Tissue Image Reconstruction",
  booktitle="Elektro 2010 proceedings",
  year="2010",
  pages="53--56",
  isbn="978-80-554-0196-6"
}