TY - JOUR
T1 - Multifrequency electrical impedance tomography (Mf-EIT) for the detection of breast cancer phantom anomalies
AU - Ariwanto, Bayu
AU - Ain, Khusnul
AU - Rulaningtyas, Riries
AU - Ukhrowiyah, Nuril
AU - Aisya, Rohadatul
AU - Basori, Ahmad Hoirul
AU - Mansur, Andi Besse Fidausiah
N1 - Publisher Copyright:
© 2024
PY - 2025/6
Y1 - 2025/6
N2 - Breast cancer is the most commonly diagnosed neoplasm and one of the most widespread cancers among women. The research advanced the Mf-EIT hardware through analogue discovery, component assessment, hardware integration, software creation, and data reconstruction utilizing Gauss-Newton and GREIT approaches. The breast cancer phantom consisted of a gelatin and sodium chloride solution. The position and number of anomalies in the reconstructed image correspond with the phantom. Anomalies in the reconstructed image are illustrated in red, indicating that they exhibit higher conductivity than their environment. The smallest percentage difference in conductivity between the reconstructed image of the cancer abnormality and the phantom is 0.18 %, recorded at a current of 0.35 mA and a frequency of 150 kHz. The smallest percentage difference in size between cancer abnormalities 1 and 2 in the reconstructed image and the phantom is 0.14 %, observed at a current of 0.22 mA and a frequency of 80 kHz. In brief, • This study proposes an innovative Electrical Impedance Tomography (EIT) • The designed and built the Mf-EIT hardware based on data reconstruction using Gauss-Newton and GREIT • The Electrical Impedance Tomography designed to detect the anomalies in the reconstructed image of Breast Cancer.
AB - Breast cancer is the most commonly diagnosed neoplasm and one of the most widespread cancers among women. The research advanced the Mf-EIT hardware through analogue discovery, component assessment, hardware integration, software creation, and data reconstruction utilizing Gauss-Newton and GREIT approaches. The breast cancer phantom consisted of a gelatin and sodium chloride solution. The position and number of anomalies in the reconstructed image correspond with the phantom. Anomalies in the reconstructed image are illustrated in red, indicating that they exhibit higher conductivity than their environment. The smallest percentage difference in conductivity between the reconstructed image of the cancer abnormality and the phantom is 0.18 %, recorded at a current of 0.35 mA and a frequency of 150 kHz. The smallest percentage difference in size between cancer abnormalities 1 and 2 in the reconstructed image and the phantom is 0.14 %, observed at a current of 0.22 mA and a frequency of 80 kHz. In brief, • This study proposes an innovative Electrical Impedance Tomography (EIT) • The designed and built the Mf-EIT hardware based on data reconstruction using Gauss-Newton and GREIT • The Electrical Impedance Tomography designed to detect the anomalies in the reconstructed image of Breast Cancer.
KW - Analog discovery
KW - Breast cancer
KW - Electrical impedance tomography
KW - Gauss-Newton
KW - GREIT
KW - Multifrequency
UR - http://www.scopus.com/inward/record.url?scp=85211694666&partnerID=8YFLogxK
U2 - 10.1016/j.mex.2024.103087
DO - 10.1016/j.mex.2024.103087
M3 - Article
AN - SCOPUS:85211694666
SN - 2215-0161
VL - 14
JO - MethodsX
JF - MethodsX
M1 - 103087
ER -