Optimization of a microwave tomography algorithm using the DDA as a fast forward solver
Paper i proceeding, 2019

© 2019 IEEE. The forward model directly impacts the computation time of an iterative image reconstruction algorithm for microwave tomography. Therefore, there is a need to decrease the computation time without sacrificing accuracy. To accomplish this, the discrete dipole approximation (DDA) is used to improve time efficiency. Although the DDA is an accurate and efficient forward solver, the optimization of its implementation can have a significant impact on its time efficiency. We propose a possible forward solution set-up to benefit in computation time efficiency. Optimizing the DDA implementation can decrease the computation time for a microwave tomography algorithm significantly, and thus produces images closer to real time.

Författare

Samar Hosseinzadegan

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

Andreas Fhager

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

Mikael Persson

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik

Paul M Meaney

Thayer School of Engineering at Dartmouth

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

1683-1684 8889156

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019
Atlanta, USA,

Ämneskategorier

Beräkningsmatematik

Reglerteknik

Datorseende och robotik (autonoma system)

DOI

10.1109/APUSNCURSINRSM.2019.8889156

Mer information

Senast uppdaterat

2019-12-02