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dc.contributor.authorElahi, Muhammad Adnan
dc.contributor.authorGlavin, Martin
dc.contributor.authorJones, Edward
dc.contributor.authorO'Halloran, Martin
dc.identifier.citationElahi, 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:
dc.description.abstractMicrowave 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.en_IE
dc.description.sponsorshipThis work is supported by Science Foundation Ireland (Grant Numbers: 11/SIRG/I2120 and 12/IP/1523) and has been developed in the framework of COST Action TD1301, MiMed.en_IE
dc.relation.ispartofBiomedical Signal Processing And Controlen
dc.subjectMicrowave imagingen_IE
dc.subjectUltra wideband radaren_IE
dc.subjectBreast canceren_IE
dc.subjectMultistatic artifact removalen_IE
dc.subjectSkin subtractionen_IE
dc.subjectSkin-artifact removalen_IE
dc.titleAdaptive artifact removal for selective multistatic microwave breast imaging signalsen_IE
dc.contributor.funderScience Foundation Ireland
dc.local.contactMuhammad Adnan Elahi, -. - Email:

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