# Two-step reconstruction process for microwave tomography without a priori information

**2016 10th European Conference on Antennas and Propagation, EuCAP 2016**(2164-3342). p. Arti no 7481674. (2016)

[Konferensbidrag, refereegranskat]

While our log transform reconstruction algorithm provides significant advantages over competing algorithms because of its ability to converge to a unique, global solution without utilizing a priori information, the process still requires a modest amount of regularization which naturally tends to smooth the image and sometimes blur important features. We have integrated this overall technique with a novel 2-step reconstruction to produce significantly improved images with respect to feature definition without inducing unwanted artifacts. The critical challenge in this scenario is determining the regularization parameter for the Euclidean distance penalty term in the second step. In this case, because the algorithm is quite fast, the regularization term is computed using a simple linear search. Initial phantom experiment results indicate that targets as small as 5mm diameter are detectable and that the algorithm behaves as an efficient estimator according to standard parameter estimation metrics for a wide range of targets. Results also suggest that there are equally significant improvements in reconstructions from actual patient exams. © 2016 European Association of Antennas and Propagation.

**Nyckelord: **microwave tomography; a priori information; two-step; phantom experiment; breast imaging; residual analysis

*Conference: 10th European Conference on Antennas and Propagation (EuCAP)
Location: Davos, SWITZERLAND
Date: APR 10-15, 2016*

Denna post skapades 2016-12-19. Senast ändrad 2017-07-12.

CPL Pubid: 246198