Comparison of image reconstruction algorithms for finding impurities utilising EIT for clinical application in breast cancer

摘要

Breast cancer is a common and life threatening disease if not treated in its early stage. Electrical impedance tomography is an imaging technique employed in medical field for analysis and diagnosis purpose for early breast cancer disease detection, which is based on voltage and current or impedance measurements. In this paper, 2-dimensional electrical impedance tomography database is used to study and implement various image reconstruction algorithms. The electrical impedance and diffused optical reconstruction software (EIDORS) of MATLAB toolbox is used to reconstruct images of circular phantom approximating a breast hypothetical model.