@inproceedings{a96efddc7c0a46e88c5366014d3da539,
title = "Compressive x-ray material decomposition using structured illumination",
abstract = "This manuscript explores a new approach for spectral X-ray tomography that uses K-edge filtering structures to attain spectral and spatially coded illumination which enables the acquisition of compressive measurements for the reconstruction of energy-binned images. The system is coined compressive spectral X-ray imaging (CSXI). A multi-stage algorithm is proposed to solve the non-linear ill-posed problem using sparse and low-rank regularization constraints to exploit the structure of the spectral data cube. The proposed algorithm can reconstruct both the energy binned images as well as the material decomposition of the object given a set of basis materials.",
keywords = "K-edge filters, Material Decomposition, Spectral CT",
author = "Cuadros, \{Angela P.\} and Xu Ma and Arce, \{Gonzalo R.\}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 12th SPIE Conference on Developments in X-Ray Tomography 2019 ; Conference date: 13-08-2019 Through 15-08-2019",
year = "2019",
doi = "10.1117/12.2526843",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Bert Muller and Ge Wang",
booktitle = "Developments in X-Ray Tomography XII",
address = "United States",
}