Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging
Journal article, 2021

This article describes a fast microwave tomography reconstruction algorithm based on the 2-D discrete dipole approximation (DDA). Synthetic data from a finite-element-based solver and experimental data from a microwave imaging system are used to reconstruct images and to validate the algorithm. The microwave measurement system consists of 16 monopole antennas immersed in a tank filled with lossy coupling liquid and a vector network analyzer. The low-profile antennas and lossy nature of the system make the DDA an ideal forward solver in image reconstructions. The results show that the algorithm can readily reconstruct a 2-D plane of a cylindrical phantom. The proposed forward solver combined with the nodal adjoint method for computing the Jacobian matrix enables the algorithm to reconstruct an image within 6 s. This implementation provides significant time savings and reduced memory requirements and is a dramatic improvement over previous implementations.

Jacobian matrix

microwave tomography.

Microwave imaging

discrete dipole approximation (DDA)

Reconstruction algorithms

Phantoms

Microwave theory and techniques

Breast imaging

Imaging

computational efficiency

Tomography

Image reconstruction

Author

Samar Hosseinzadegan

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Andreas Fhager

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Mikael Persson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Shireen D. Geimer

Thayer School of Engineering at Dartmouth

Paul M Meaney

Thayer School of Engineering at Dartmouth

IEEE Transactions on Microwave Theory and Techniques

0018-9480 (ISSN)

Vol. 69 5 2741-2752

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

Medical Image Processing

DOI

10.1109/TMTT.2021.3060597

PubMed

34176958

More information

Latest update

5/12/2021