References
- M. Arnold et al., “Current and future burden of breast cancer: global statistics for 2020 and 2040,” The Breast, Dec. 2022, vol. 66, pp. 15–23. https://doi.org/10.1016/j.breast.2022.08.010
- E. Devolli-Disha, S. Manxhuka-Kërliu, H. Ymeri, and A. Kutllovci, “Comparative accuracy of mammography and ultrasound in women with breast symptoms according to age and breast density,” Bosn J Basic Med Sci, May 2009, vol. 9, no. 2, pp. 131–136. https://doi.org/10.17305/bjbms.2009.2832
- A. Carovac, F. Smajlovic, and D. Junuzovic, “Application of ultrasound in medicine,” Acta Informatica Medica, 2011, vol. 19, no. 3, p. 168. https://doi.org/10.5455/aim.2011.19.168-171
- R. M. Mann et al., “Breast cancer screening in women with extremely dense breasts recommendations of the european society of breast imaging (eusobi),” Eur Radiol, Jun. 2022, vol. 32, no. 6, pp. 4036–4045. https://doi.org/10.1007/s00330-022-08617-6
- N. Goren et al., “Multi-frequency electrical impedance tomography and neuroimaging data in stroke patients,” Sci Data, Jul. 2018, vol. 5, no. 1, p. 180112. https://doi.org/10.1038/sdata.2018.112
- L. Cao et al., “A novel time-difference electrical impedance tomography algorithm using multi-frequency information,” Biomed Eng Online, Dec. 2019, vol. 18, no. 1, p. 84. https://doi.org/10.1186/s12938-019-0703-9
- P. A. Sejati, B. Sun, P. N. Darma, T. Shirai, K. Narita, and M. Takei, “Multinode electrical impedance tomography (mnEIT) throughout whole-body electrical muscle stimulation (wbEMS),” IEEE Trans Instrum Meas, 2023, vol. 72, pp. 1–14. https://doi.org/10.1109/TIM.2023.3282295
- D. Holder, Electrical Impedance Tomography. CRC Press, 2004. https://doi.org/10.1201/9780367801595
- M. Gutierrez-Lopez, J. Prado-Olivarez, J. Diaz-Carmona, C. A. Herrera-Ramírez, J. A. Gutierrez-Gnecchi, and C. G. Medina-Sánchez, “Electrical impedance-based methodology for locating carcinoma emulators on breast models,” J Sens, May 2019, vol. 2019, pp. 1–16. https://doi.org/10.1155/2019/8587191
- J. C. Gomes, V. A. F. Barbosa, D. E. Ribeiro, R. E. de Souza, and W. P. dos Santos, “Electrical impedance tomography image reconstruction based on backprojection and extreme learning machines,” Research on Biomedical Engineering, Dec. 2020, vol. 36, no. 4, pp. 399–410. https://doi.org/10.1007/s42600-020-00079-3
- A. J. Rao, E. K. Murphy, M. Shahghasemi, and K. M. Odame, “Current-conveyor-based wide-band current driver for electrical impedance tomography,” Physiol Meas, Apr. 2019, vol. 40, no. 3, p. 034005. https://doi.org/10.1088/1361-6579/ab0c3c
- A. Zarafshani, T. Bach, C. R. Chatwin, S. Tang, L. Xiang, and B. Zheng, “Conditioning electrical impedance mammography system,” Measurement, Feb. 2018, vol. 116, pp. 38–48. https://doi.org/10.1016/j.measurement.2017.10.052
- S. Hong et al., “A 4.9 mΩ-sensitivity mobile electrical impedance tomography ic for early breast-cancer detection system,” IEEE J Solid-State Circuits, Jan. 2015, vol. 50, no. 1, pp. 245–257. https://doi.org/10.1109/JSSC.2014.2355835
- Y. Shi, X. He, M. Wang, B. Yang, F. Fu, and X. Kong, “Reconstruction of conductivity distribution with electrical impedance tomography based on hybrid regularization method,” Journal of Medical Imaging, Jun. 2021, vol. 8, no. 03. https://doi.org/10.1117/1.JMI.8.3.033503
- J. Liu and F. Ciucci, “The gaussian process distribution of relaxation times: a machine learning tool for the analysis and prediction of electrochemical impedance spectroscopy data,” Electrochim Acta, Jan. 2020, vol. 331. https://doi.org/10.1016/j.electacta.2019.135316
- I. N. Rifai, M. R. Baidillah, R. Wicaksono, S. Akita, and M. Takei, “Sodium concentration imaging in dermis layer by square-wave open electrical impedance tomography (SW-oEIT) with spatial voltage thresholding (SVT),” Biomed Phys Eng Express, Jul. 2023, vol. 9, no. 4, p. 045013. https://doi.org/10.1088/2057-1976/acd4c6
- B. Sun, M. R. Baidillah, P. N. Darma, T. Shirai, K. Narita, and M. Takei, “Evaluation of the effectiveness of electrical muscle stimulation on human calf muscles via frequency difference electrical impedance tomography,” Physiol Meas, Mar. 2021, vol. 42, no. 3, p. 035008. https://doi.org/10.1088/1361-6579/abe9ff
- K. A. Ibrahim, P. A. Sejati, P. N. Darma, A. Nakane, and M. Takei, “Metal particle detection by integration of a generative adversarial network and electrical impedance tomography (GAN-EIT) for a wet-type gravity vibration separator,” Sensors, Sep. 2023, vol. 23, no. 19, p. 8062. https://doi.org/10.3390/s23198062
- P. C. Hansen and D. P. O’Leary, “The use of the l-curve in the regularization of discrete ill-posed problems,” SIAM Journal on Scientific Computing, Nov. 1993, vol. 14, no. 6, pp. 1487–1503. https://doi.org/10.1137/0914086
- M. R. Baidillah, A.-A. S. Iman, Y. Sun, and M. Takei, “Electrical impedance spectro-tomography based on dielectric relaxation model,” IEEE Sens J, Dec. 2017, vol. 17, no. 24, pp. 8251–8262. https://doi.org/10.1109/JSEN.2017.2710146
- B. Sun, P. N. Darma, K. Ikeda, T. Shirai, K. Narita, and M. Takei, “Relationship between fat thickness and current density magnitude in calf muscles compartments under electrical muscle stimulation (EMS) by coupling of electromagnetic simulation and electrical impedance tomography (ES-EIT),” J Vis (Tokyo), Dec. 2023, vol. 26, no. 6, pp. 1375–1388. https://doi.org/10.1007/s12650-023-00932-4
- K. Sakai, P. N. Darma, P. A. Sejati, R. Wicaksono, H. Hayashi, and M. Takei, “Gastric functional monitoring by gastric electrical impedance tomography (geit) suit with dual-step fuzzy clustering,” Sci Rep, Jan. 2023, vol. 13, no. 1, p. 514. https://doi.org/10.1038/s41598-022-27060-7
- P. N. Darma, D. Kawashima, and M. Takei, “Gastric electrical impedance tomography (gEIT) based on a 3d jacobian matrix and dual-step fuzzy clustering post-processing,” IEEE Sens J, Jul. 2022, vol. 22, no. 14, pp. 14336–14346. https://doi.org/10.1109/JSEN.2022.3181052
- Hasgall PA et al., “Itis.swiss/database,” IT’IS Database for thermal and electromagnetic parameters of biological tissues. Web: https://itis.swiss/virtual-population/tissue-properties/database/tissue-frequency-chart/. Accessed 7th Aug 2024.
- B. Brazey, Y. Haddab, and N. Zemiti, “Robust imaging using electrical impedance tomography: review of current tools,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Feb. 2022, vol. 478, no. 2258. https://doi.org/10.1098/rspa.2021.0713