Related Experiment Video
Updated: Jun 6, 2026
05:28
Clinical Imaging of Microwave Mammography
Published on: November 14, 2025
Time reversal microwave breast imaging for contrast-enhanced tumor classification.
P Kosmas1, S Laranjeira, J H Dixon
1Division of Engineering and the Department of Informatics, King's College London, WC2R 2LS, UK. panagiotis.kosmas@kcl.ac.uk
Summary
The decomposition of time reversal operator (DORT) technique shows promise for microwave breast lesion classification. Singular value decomposition of the multistatic data matrix aids in distinguishing malignant from benign lesions.
Area of Science:
- Medical imaging
- Electromagnetics
- Biomedical engineering
Background:
- Microwave imaging offers a non-ionizing approach for breast lesion detection.
- Accurate classification of lesions as malignant or benign remains a challenge.
Purpose of the Study:
- To investigate the efficacy of the decomposition of the time reversal operator (DORT) technique for microwave breast lesion classification.
- To evaluate the use of singular value decomposition (SVD) of the multistatic data matrix (MDM) for differentiating lesion types.
Main Methods:
- Application of the finite-difference time-domain (FDTD) method to a realistic numerical breast phantom.
- Acquisition of multistatic data matrix (MDM) for various antenna array configurations.
- Derivation of singular value decomposition (SVD) for different artificial targets representing malignant and benign lesions.
Main Results:
- The singular value spectrum derived from the MDM shows potential for classifying lesions.
- Differential backscatter data analysis, particularly with contrast-enhanced agents, improves classification accuracy.
Conclusions:
- The DORT technique, combined with SVD of the MDM, is a viable method for microwave-based breast lesion classification.
- Further research incorporating contrast-enhanced agents could enhance diagnostic capabilities.
