Accuracy Improvement of the Huygens' Principle-based Method for UWB Microwave Imaging

In recent years, microwave imaging has been recognized as a promising non-ionizing and non-invasive alternative for several medical applications, including breast cancer screening. To broaden the limits of microwave imaging, new research and novel techniques are necessary. In this paper, a new fitting approach for an efficient evaluation of Green's function in a specific medium and its application to a Huygens' principle (HP)-based method for microwave imaging are discussed. We have demonstrated that a sum of sine fitting function allows us to accurately reconstruct a dielectrics homogeneity map of a cylinder containing an inclusion, achieving detection, localization and characterization of the inclusion size. Moreover, it significantly reduces image noise and artifacts. Validation of the novel methodology through analytical simulations has been performed and presented, illustrating the effectiveness of the methods.

Automated summary

Microwave imaging is recognized as a promising alternative for medical applications like breast cancer screening. This paper discusses a new fitting approach for evaluating Green's function and its application to microwave imaging. The approach accurately reconstructs dielectric maps and reduces image noise and artifacts.