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

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
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    Electrical impedance imaging shows promise for early breast cancer detection. Anomaly detection algorithms applied to trans-admittance mammography can estimate tumor size and position, though contrast dependency requires robust algorithms.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Electrical Impedance Tomography

    Background:

    • Early-stage breast cancer detection is crucial for survival.
    • Tumor size and lymph node involvement significantly impact prognosis.
    • Electrical impedance imaging leverages differences in tissue electrical properties.

    Purpose of the Study:

    • To apply anomaly detection to high-density trans-admittance mammography for breast cancer size and position estimation.
    • To evaluate the algorithm's performance across various anomaly sizes, conductivity contrasts, and depths.
    • To address the challenge of size estimation dependency on admittivity contrast.

    Main Methods:

    • Utilized a high-density trans-admittance mammography system.
    • Applied an anomaly detection algorithm to frequency-difference trans-admittance maps.
    • Tested anomalies of varying sizes, conductivity contrasts (3 levels), and depths (5 levels).

    Main Results:

    • Transversal position and depth were accurately estimated from frequency difference maps.
    • Tumor size estimation showed dependency on the admittivity contrast between the anomaly and background tissue.
    • The system demonstrated potential for localizing breast abnormalities.

    Conclusions:

    • Trans-admittance mammography with anomaly detection can estimate breast cancer location and depth.
    • Robust algorithms are needed to overcome the size estimation's dependence on conductivity contrast.
    • Further development is required for reliable tumor size assessment in diverse clinical scenarios.