Adaptive artifact removal for selective multistatic microwave breast imaging signals

Elahi, M. A., Glavin, M., Jones, E., & O’Halloran, M. (2017). Adaptive artifact removal for selective multistatic microwave breast imaging signals. Biomedical Signal Processing and Control, 34(Supplement C), 93-100. doi: https://doi.org/10.1016/j.bspc.2017.01.006

Abstract

Microwave imaging is one of the most promising alternative breast imaging modalities. Early-stage artifact removal is an important signal processing component of a microwave breast imaging system. In this paper, a monostatic artifact removal algorithm is extended to remove the early-stage artifact from multistatic radar signals. The multistatic radar signals exhibit greater variation in the early-stage artifact due to varying propagation paths between transmitting and receiving antennas. This variation makes it more challenging to estimate and remove the artifact compared to the monostatic signals. This paper proposes an entropy-based adaptive method to group signals with similar artifacts and then remove the artifact from each group separately using a hybrid artifact removal algorithm. The efficacy of the proposed algorithm has been demonstrated by imaging anatomically and dielectrically realistic 3D numerical breast phantoms. (C) 2017 Elsevier Ltd. All rights reserved.

Funder

Science Foundation Ireland

Publisher

Elsevier

Rights

Attribution-NonCommercial-NoDerivs 3.0 Ireland

cbn

Collections

Electrical and Electronic Engineering (Scholarly Articles)