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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" }