Detail publikace

Training set generation system for reconstruction of electrical impedance tomography images

ZEMITI, S. ALOPH, C. MIKULKA, J.

Originální název

Training set generation system for reconstruction of electrical impedance tomography images

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper introduces an innovative approach to simulating Electrical Impedance Tomography (EIT) through MATLAB, aimed at advancing the accuracy and reliability of internal imaging using electrodes. We address the critical challenge of reconstructing interior images with high fidelity by simulating inhomogeneous mediums. Our methodology involves the generation of synthetic datasets, encompassing various inhomogeneity scenarios, followed by applying forward solutions to ascertain voltage measurements indicative of interior conductivity variations. The research emphasizes the creation of an adaptive framework capable of simulating real-world scenarios within a controlled digital environment, thereby enhancing the predictive capabilities of EIT systems in diverse applications ranging from medical imaging to industrial inspection.

Klíčová slova

EIT, image reconstruction, dataset generation, forward problem, conductivity distribution, inhomogeneity mapping, MATLAB.

Autoři

ZEMITI, S.; ALOPH, C.; MIKULKA, J.

Vydáno

23. 4. 2024

Nakladatel

VUT v Brně

Místo

Brno

ISBN

978-80-214-6231-1

Kniha

Proceedings I of the 30th Conference STUDENT EEICT 2024

Strany od

190

Strany do

193

Strany počet

4

URL

https://www.eeict.cz/download

BibTex

@inproceedings{BUT188846,
  author="Samia {Zemiti} and Clark {Aloph} and Jan {Mikulka}",
  title="Training set generation system for reconstruction of electrical impedance tomography images",
  booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024",
  year="2024",
  pages="190--193",
  publisher="VUT v Brně",
  address="Brno",
  isbn="978-80-214-6231-1",
  url="https://www.eeict.cz/download"
}