Frequency inversion method and device for malignant melanoma detection using RF/microwaves

TL;DR

This paper introduces a frequency inversion method and a device prototype for detecting malignant melanoma using RF/microwave backscattered data, demonstrating effective reconstruction of tissue properties and distinguishing melanoma presence.

Contribution

It presents a novel iterative reconstruction algorithm for dielectric permittivity and a new device prototype modeled in HFSS/Ansys for melanoma detection.

Findings

Reconstruction algorithm performs well in 2D simulations.

Device prototype shows significant phase distortion with melanoma presence.

Measurements indicate potential for non-invasive melanoma detection.

Abstract

The paper considers an inverse problem of reconstructing the spatially distributed complex dielectric permittivity function using backscattered data of the electric field in the frequency domain. We develop iterative algorithm for reconstruction of this function. Numerical example show the performance of the proposed algorithm in 2D. Additionally, we present at the first time the new prototype of the device for the malignant melanoma detection which is modelled in HFSS/Ansys. Results of measurements of scattered parameters in HFSS/Ansys show significant phase distortion in the case when melanoma is present compared to the case when melanoma is absent.