Reducing computational burden in the gradient calculation of a time-domain microwave image reconstruction algorithm
Paper in proceedings, 2018

Microwave image reconstruction is usually made with very computationally demanding algorithms. In this work a time domain image reconstruction algorithm is investigated. With this algorithm the memory requirement for the gradient calculation easily can expand beyond what can be fitted into the RAM memory of a computer. As a consequence, the hard drive has to be used for intermediate storage of computation data. This has serious implications on the execution time of the reconstruction algorithm. In this work we investigate what effect a reduction of the number of data points in the gradient calculation has on the reconstruction accuracy. The results show that significant reduction is possible without apparent effect on the reconstructed image.

gradient computation

FDTD

image reconstruction

microwave tomography

Author

Andreas Fhager

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Mikael Persson

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik

2018 IEEE Conference on Antenna Measurements and Applications, CAMA 2018

8530451

2018 IEEE Conference on Antenna Measurements and Applications, CAMA 2018
Västerås, Sweden,

Subject Categories

Computer Science

Computer Vision and Robotics (Autonomous Systems)

Medical Image Processing

DOI

10.1109/CAMA.2018.8530451

More information

Latest update

12/21/2018