Adaptive combining via correlation exploration for ultrawideband breast cancer imaging
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 8055_59770
- Type
- D - Journal article
- DOI
-
10.1109/LAWP.2014.2372331
- Title of journal
- IEEE Antennas and Wireless Propagation Letters
- Article number
- -
- First page
- 587
- Volume
- 14
- Issue
- -
- ISSN
- 1536-1225
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
https://doi.org/10.1109/LAWP.2014.2372331
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel algorithm of Ultrawideband imaging is introduced for breast cancer detection, named adaptive combining via correlation exploration (ACE). It exploits the high correlation between backscattered signals and coherence reference signals within neighbouring antennas. The efficacy is validated using 3-D anatomically and dielectrically finite-difference time-domain (FDTD) breast models. Extensive breast models are considered, homogenous and heterogeneous, sparse and moderately dense. It is shown to identify malignant tumours, immune from early-stage artifact and capable of distinguishing responses from cancerous and fibro-glandular tissues. The results show the high promise of ACE for early breast cancer screening and led to further research developments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
