volume | PIER Journals

Abstract

Breast cancer is considered one of the major cancers among women. Early identification of breast cancer is essential for improving treatment outcomes, necessitating the application of accurate, non-invasive imaging methods. This paper presents a comparative evaluation of Electrical Impedance Tomography (EIT) and Ultrasound Tomography (UST) for breast tumour diagnosis, employing a simulated multilayer breast model. The forward problem, which entails the determination of electrical conductivity and acoustic pressure distribution, was addressed through finite element analysis utilizing COMSOL Multiphysics software. The inverse problem of EIT was solved using Total Variation regularization with Primal-Dual Interior Point Method (TV-PDIPM) and that of ultrasound by employing attenuation-weighted bilinear interpolation to effectively resolve propagation losses through tissue layers, subsequently leading to segmentation. The images reconstructed and segmented from both modalities were subjected to quantitative evaluation employing metrics such as accuracy, Dice coefficient, sensitivity, specificity, and correlation coefficient (CC). The findings indicate that both approaches offers complimentary information regarding tumor, with each approach presenting distinct advantages based on tissue characteristics and image clarity.

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Mrs. Annapoorani Ganesan

Prof. Vani Rajamanickam

Dr. Vaishali Durgamahant