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Breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation-time distribution (EIT-GRTD).
Setyawan, Galih; Sejati, Prima Asmara; Ibrahim, Kiagus Aufa; Takei, Masahiro.
Afiliación
  • Setyawan G; Department of Mechanical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan.
  • Sejati PA; Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Ibrahim KA; Department of Mechanical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan.
  • Takei M; Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia.
J Electr Bioimpedance ; 15(1): 99-106, 2024 Jan.
Article en En | MEDLINE | ID: mdl-39263531
ABSTRACT
The comparison between breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation time distribution (EIT-GRTD) and conventional EIT has been conducted to evaluate the optimal frequency for cancer detection f cancer. The EIT-GRTD has two steps, which are 1) the determination of the f cancer and 2) the refinement of breast reconstruction through time-constant enhancement. This paper employs two-dimensional numerical simulations by a finite element method (FEM) software to replicate the process of breast cancer recognition. The simulation is constructed based on two distinct electrical properties, which are conductivity σ and permitivitty ε, inherent to two major breast tissues adipose tissues, and breast cancer tissues. In this case, the σ and ε of breast cancer σ cancer, ε cancer are higher than adipose tissues σ adipose, ε adipose. The simulation results indicate that the most effective frequency for breast cancer detection based on EIT-GRTD is f cancer = 56,234 Hz. Meanwhile, conventional EIT requires more processing to determine the f cancer based on image results or spatial conductivity analysis. Quantitatively, both EIT-GRTD and conventional EIT can clearly show the position of the cancer in layers 1 and 2 for EIT-GRTD and only layer 1 for conventional EIT.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Electr Bioimpedance Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Polonia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Electr Bioimpedance Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Polonia