AI’s potential for Artificial Phantom Mimicking Tissue of the Human Breast Electrical Properties

A Rangel Trejo (1) , J A Bernardo (1) , L Konadu (1) , L Fakri-Bouchet (2)

1 UCBL - Université Claude Bernard Lyon 1
2 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

In this study, we present an assessment method of Early Breast Cancer Detection based on Artificial Intelligence (AI). This method includes prediction, setting and measurement of several human breast phantom mixtures for Microwave Imaging (MWI). These developed Breast Phantoms have realistic dielectric properties (important for Radar Microwave Imaging Systems & Ethical Non-Animal-Testing). We Developed Heterogeneous mimicking tissue architecture for mimicking Breast Tissues (Fat, Regular Fat, Gland, Body Fluid, Blood, Muscle-Tumor, Skin Dry, and Skin Wet) and tested using ultrawideband frequency (0.2 GHz-4.5 GHz) by a modern Vector Network Analyzer. Our qualitative and quantitative research includes the methodology and results for using the material's dielectric parameters and AI algorithms for emulation of real Breast Tissues for Microwave Imaging Pre-clinical trials.

Keywords: Microwave Imaging; Radar Imaging; Artificial-Intelligence; Breast-Cancer; Breast-Phantoms; Microwave measurement

Domains: Artificial Intelligence [cs.AI]

A Rangel Trejo, J A Bernardo, L Konadu, L Fakri-Bouchet. AI’s potential for Artificial Phantom Mimicking Tissue of the Human Breast Electrical Properties. Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA'21) Plate-Forme Intelligence Artificielle (PFIA'21), Jul 2021, Bordeaux, France. pp.91-93. ⟨hal-03298725⟩