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Breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation-time distribution (EIT–GRTD) Cover

Breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation-time distribution (EIT–GRTD)

Journal of Electrical Bioimpedance
Volume 15 (2024): Issue 1 (January 2024)
By: Galih Setyawan,  Prima Asmara Sejati,  Kiagus Aufa Ibrahim and  Masahiro Takei  
Open Access
|Aug 2024

Figures & Tables

Fig.1:

Overview of breast cancer recognition by EIT-GRTD versus conventional EIT
Overview of breast cancer recognition by EIT-GRTD versus conventional EIT

Fig. 2:

Simulation setup of breast cancer recognition in the case of (a) z-axis view, and (b) y-axis view
Simulation setup of breast cancer recognition in the case of (a) z-axis view, and (b) y-axis view

Fig. 3:

Electrical properties utilized in the simulation [24].
Electrical properties utilized in the simulation [24].

Fig. 4:

Adjacent pattern in simulation [25]
Adjacent pattern in simulation [25]

Fig. 5:

The determination of the frequency for cancer detection fcancer in the simulation study
The determination of the frequency for cancer detection fcancer in the simulation study

Fig. 6:

Image reconstruction result by time constant enhancement breast imaging at fcancer = 56,234 Hz and conventional EIT
Image reconstruction result by time constant enhancement breast imaging at fcancer = 56,234 Hz and conventional EIT

Fig.7:

Absolute impedance |Z| and spatial mean conductivity 〈σ〉 plot in all layers
Absolute impedance |Z| and spatial mean conductivity 〈σ〉 plot in all layers
DOI: https://doi.org/10.2478/joeb-2024-0011 | Journal eISSN: 1891-5469
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Language: English
Page range: 99 - 106
Submitted on: May 2, 2024
Published on: Aug 12, 2024
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Breast cancer,
impedance,
tomography,
recognition,
Gaussian Relaxation-Time Distribution
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2024 Galih Setyawan, Prima Asmara Sejati, Kiagus Aufa Ibrahim, Masahiro Takei, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

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