Evaluation of anomaly detection algorithm using trans-admittance mammography with 60×60 electrode array

Electrical impedance imaging has a potential to detect an early stage of breast cancer due to higher admittivity values compared with those of normal breast tissues. Specially, tumor size and extent of axillary lymph node involvement are important parameters to evaluate the breast cancer survival rate. We applied the anomaly detection algorithm to the high density trans-admittance mammography system for estimating the size and position of breast cancer. We tested 4 different size of anomaly with 3 different conductivity contrasts at 5 different depths. From a frequency difference trans-admittance map, we can readily observe the transversal position and estimate its size and depth. However, the size estimation was dependent on the admittivity contrast between anomaly and background. It requires the robust detection algorithm regardless of the conductivity contrast.