A robust and artifact resistant algorithm of ultrawideband imaging system for breast cancer detection

Yin, Tengfei, Ali, F H and Reyes-Aldasoro, C C (2015) A robust and artifact resistant algorithm of ultrawideband imaging system for breast cancer detection. IEEE Transactions on Biomedical Engineering, 62 (6). pp. 1514-1525. ISSN 0018-9294

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Objective: Ultrawideband radar imaging is regarded as one of the most promising alternatives for breast cancer detection. A range of algorithms reported in literature shows satisfactory tumor detection capabilities. However, most of algorithms suffer significant deterioration or even fail when the early-stage artifact, including incident signals and skin-fat interface reflections,cannot be perfectly removed from received signals. Furthermore,fibro-glandular tissue poses another challenge for tumor detection,due to the small dielectric contrast between glandular and cancerous tissues. Methods: This paper introduces a novel Robust and Artifact Resistant (RAR) algorithm, in which a neighborhood pairwise correlation-based weighting is designed to overcome the adverse effects from both artifact and glandular tissues. In RAR,backscattered signals are time-shifted, summed, and weighted by the maximum combination of the neighboring pairwise correlation coefficients between shifted signals, forming the intensity of each point within an imaging area. Results: The effectiveness was investigated using 3-D anatomically and dielectrically accurate finite-difference-time-domain numerical breast models. The use of neighborhood pairwise correlation provided robustness against artifact and enabled the detection of multiple scatterers. RAR is compared with four well-known algorithms: delay-and-sum,delay-multiply-and-sum, modified-weighted-delay-and-sum, and filtered-delay-and-sum. Conclusion: It has shown that RAR exhibits improved identification capability, robust artifact resistance,and high detectability over its counterparts in most scenarios considered, while maintaining computational efficiency. Simulated tumors in both homogeneous and heterogonous, from mildly to moderately dense breast phantoms, combining an entropy-based artifact removal algorithm, were successfully identified and localized. Significance: These results show the strong potential of RAR for breast cancer screening.

Item Type: Article
Keywords: cancer;entropy;finite difference time-domain analysis;image denoising;medical image processing;microwave imaging;phantoms;radar imaging;tumours;ultra wideband radar;3-D anatomically accurate finite-difference-time-domain numerical breast models;3-D dielectrically accurate finite-difference-time-domain numerical breast models;RAR;Robust and Artifact Resistant algorithm;artifact tissues;backscattered signals;breast cancer detection;cancerous tissues;dielectric contrast;early-stage artifact;fibroglandular tissue;glandular tissues;incident signals;neighborhood pairwise correlation-based weighting;point intensity;skin-fat interface reflections;tumor detection capabilities;ultrawideband imaging system;ultrawideband radar imaging;Algorithm design and analysis;Antennas;Breast cancer;Imaging;Time-domain analysis;Tumors;Breast cancer detection;delay-and-sum (DAS);finite-difference time-domain (FDTD);ultrawideband (UWB) imaging
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Falah Ali
Date Deposited: 20 Jan 2016 13:30
Last Modified: 20 Jan 2016 13:30
URI: http://sro.sussex.ac.uk/id/eprint/59346
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