Setyawan Galih, Sejati Prima Asmara, Ibrahim Kiagus Aufa, Takei Masahiro
Department of Mechanical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan.
Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia.
J Electr Bioimpedance. 2024 Aug 12;15(1):99-106. doi: 10.2478/joeb-2024-0011. eCollection 2024 Jan.
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 . The EIT-GRTD has two steps, which are 1) the determination of the 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 and permitivitty , inherent to two major breast tissues: adipose tissues, and breast cancer tissues. In this case, the and of breast cancer , are higher than adipose tissues , . The simulation results indicate that the most effective frequency for breast cancer detection based on EIT-GRTD is = 56,234 Hz. Meanwhile, conventional EIT requires more processing to determine the 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.
已对采用高斯弛豫时间分布的电阻抗断层成像（EIT - GRTD）识别乳腺癌与传统EIT进行了比较，以评估癌症检测的最佳频率。EIT - GRTD有两个步骤，即1）确定 以及2）通过时间常数增强对乳房重建进行细化。本文采用有限元方法（FEM）软件进行二维数值模拟，以复制乳腺癌识别过程。该模拟基于两种不同的电学特性构建，这两种特性是两种主要乳房组织（脂肪组织和乳腺癌组织）所固有的电导率 和电容率 。在这种情况下，乳腺癌的 和 ， 高于脂肪组织的 ， 。模拟结果表明，基于EIT - GRTD检测乳腺癌的最有效频率是 = 56,234 Hz。同时，传统EIT需要更多处理才能根据图像结果或空间电导率分析来确定 。定量地说，EIT - GRTD和传统EIT都能清楚地显示EIT - GRTD中第1层和第2层的癌症位置，而传统EIT仅能显示第1层的癌症位置。
