Abstract
We propose to use a compressed sensing recovery method called IMATCS for improving the resolution in microwave imaging applications. The electromagnetic inverse scattering problem is solved using the Distorted Born Iterative Method combined with the IMATCS algorithm. This method manages to recover small targets in cases where traditional DBIM approaches fail. Furthermore, by applying an L2-based approach to regularize the sparse recovery algorithm, we improve the algorithm's robustness and demonstrate its ability to image complex breast structures. Although our simulation scenarios do not fully represent experimental or clinical data, our results suggest that the proposed algorithm may be able to overcome persistent challenges in microwave medical imaging.
| Original language | English |
|---|---|
| Title of host publication | 8th European Conference on Antennas and Propagation, EuCAP 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 699-701 |
| Number of pages | 3 |
| ISBN (Print) | 9788890701849 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 8th European Conference on Antennas and Propagation, EuCAP 2014 - The Hague, Netherlands Duration: 6 Apr 2014 → 11 Apr 2014 |
Conference
| Conference | 8th European Conference on Antennas and Propagation, EuCAP 2014 |
|---|---|
| Country/Territory | Netherlands |
| City | The Hague |
| Period | 6/04/2014 → 11/04/2014 |
Keywords
- Adaptive thresholding
- Breast imaging
- Compressed sensing
- Inverse scattering
- Microwave tomography