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Adaptive combining via correlation exploration for ultrawideband breast cancer imaging

journal contribution
posted on 2023-06-09, 00:23 authored by Tengfei Yin, Falah AliFalah Ali
Abstract—A novel Adaptive Combining via Correlation Exploration(ACE) algorithm of ultrawideband (UWB) imaging for breast cancer detection is proposed. ACE explores and exploits the correlation between backscattered signals and local coherence reference signals generated within each group of neighboring antennas. High-correlation signals are adaptively selected, summed, and weighted by the product of their corresponding coefficients, forming the intensity of each pixel withinan imaging area. The efficacy of proposed algorithm is validated on 3-D anatomically and dielectrically accurate finite-difference time-domain (FDTD) breast models. A variety of scenarios, for both homogenous and heterogeneous, sparse and moderately dense breast models, coupled with both ideal and practical artifact removal methods, are considered. The superior performance of ACE in identification of malignant tumors is demonstrated in comparison to delay-and-sum, delay-multiply-and-sum, and filtered delay-and-sum algorithms. The ACE algorithm is shown to be not only immune to early-stage artifact, but also capable of distinguishing responses from cancerous and fibro-glandular tissues, in which the other three techniques suffer significantly or completely fail. This shows the high promise of ACE for breast cancer screening.

History

Publication status

  • Published

File Version

  • Published version

Journal

IEEE Antennas and Wireless Propagation Letters

ISSN

1536-1225

Publisher

Institute of Electrical and Electronics Engineers

Volume

14

Page range

587-590

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2016-02-29

First Compliant Deposit (FCD) Date

2016-02-29

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