Comparison of Non-Coherent Linear Breast Cancer Detection Algorithms Applied to a 2-D Numerical Breast Model

Authors

Giuseppe Ruvio, Technological University DublinFollow
Raffaele Solimene, Seconda Università di Napoli
Antonio Cuccaro, Seconda Università di Napoli
Max Ammann, Technological University DublinFollow

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Electrical and electronic engineering, Medical engineering

Publication Details

IEEE Antennas and Wireless Propagation Letters, 2013

Abstract

A comparative analysis of an imaging method based on a multi-frequency Multiple Signal Classification (MUSIC) approach against two common linear detection algorithms based on non-coherent migration is made. The different techniques are tested using synthetic data generated through CST Microwave Studio and a phantom developed from MRI scans of a mostly fat breast. The multi-frequency MUSIC approach shows an overall superior performance compared to the non-coherent techniques. This paper reports that this highly performing algorithm does not require any antenna calibration or phase response estimation and allows the use of efficient and complex antenna geometries without difficult algorithm redefinitions.

DOI

https://doi.org/10.1109/LAWP.2013.2271560

Recommended Citation

G. Ruvio, R. Solimene, A. Cuccaro, and M. J. Ammann, "Comparison of Non-Coherent Linear Detection Algorithms Applied to a 2-D Numerical Breast Model", IEEE Antennas and Wireless Propagation Letters, vol. 12, pp. 853 - 856, 2013. doi:10.1109/LAWP.2013.2271560