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Detail publikace
KŘÍŽ, T. OSTANINA, K.
Originální název
Influence of Noise in Tissue Image Reconstruction
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
EIT, tissue, image reconstruction
Autoři
KŘÍŽ, T.; OSTANINA, K.
Rok RIV
2010
Vydáno
24. 5. 2010
ISBN
978-80-554-0196-6
Kniha
Elektro 2010 proceedings
Strany od
53
Strany do
56
Strany počet
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" }