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CS based confocal microwave imaging algorithm for breast cancer detection

Issue title: Papers from the 4th International Conference on Biomedical Engineering and Biotechnology (ICBEB2015), 18-21 August 2015, Shanghai, China ``New Paradigms for Biomedical Engineering and Biotechnology''

Article type: Research Article

Authors: Sun, Y.P.a; b; * | Zhang, S.a | Cui, Z.b | Qu, L.L.b

Affiliations: [a] College of Information Science and Engineering, Northeastern University, Liaoning, China | [b] Department of Electronic Information Engineering, Shenyang Aerospace University, Liaoning, China

Correspondence: [*] Corresponding author: Y.P. Sun, College of Information Science and Engineering, Northeastern University, No. 11 Wenhua Road 110819, Liaoning, China. E-mail:[email protected]

Keywords: Microwave imaging, breast cancer detection, compressive sensing (CS), FDTD method

DOI: 10.3233/THC-161205

Journal: Technology and Health Care, vol. 24, no. s2, pp. S757-S765, 2016

Published: 13 June 2016
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Abstract

Based on compressive sensing (CS) technology, a high resolution confocal microwave imaging algorithm is proposed for breast cancer detection. With the exploitation of the spatial sparsity of the target space, the proposed image reconstruction problem is cast within the framework of CS and solved by the sparse constraint optimization. The effectiveness and validity of the proposed CS imaging method is verified by the full wave synthetic data from numerical breast phantom using finite-difference time-domain (FDTD) method. The imaging results have shown that the proposed imaging scheme can improve the imaging quality while significantly reducing the amount of data measurements and collection time when compared to the traditional delay-and-sum imaging algorithm.

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