Translator Disclaimer
12 May 2016 CT reconstruction via denoising approximate message passing
Author Affiliations +
In this paper, we adapt and apply a compressed sensing based reconstruction algorithm to the problem of computed tomography reconstruction for luggage inspection. Specifically, we propose a variant of the denoising generalized approximate message passing (D-GAMP) algorithm and compare its performance to the performance of traditional filtered back projection and to a penalized weighted least squares (PWLS) based reconstruction method. D-GAMP is an iterative algorithm that at each iteration estimates the conditional probability of the image given the measurements and employs a non-linear "denoising" function which implicitly imposes an image prior. Results on real baggage show that D-GAMP is well-suited to limited-view acquisitions.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alessandro Perelli, Michael A. Lexa, Ali Can, and Mike E. Davies "CT reconstruction via denoising approximate message passing", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470O (12 May 2016);

Back to Top