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Compressed sensing as a tool for scanning very large objects with high energy X-ray computed tomography

 
: Schön, Tobias; Firsching, Markus; Reims, Nils; Sukowski, Frank; Dittmann, Jonas

Noo, Frederic ; University of Utah:
Third International Conference on Image Formation in X-Ray Computed Tomography 2014. Proceedings : June 22-25, 2014, Salt Lake City, Utah, USA
Salt Lake City/Utah, 2014
pp.141-144
International Conference on Image Formation in X-Ray Computed Tomography <3, 2014, Salt Lake City/Utah>
English
Conference Paper
Fraunhofer IIS ()
Rekonstruktion; Algorithmik; industrielle CT; CT-Systeme; Computer-Tomografie (CT); compressed sensing

Abstract
We propose a novel high-energy X-ray Computed Tomography system for inspecting very large objects like automobiles and sea freight containers. In this context we discuss appropriate strategies for efficient scanning and reconstruction methods. Due to scattering adiation the system uses a line detector which leads to longer acquisition times compared to planar detectors. In order to reach adequate scanning times the number of projections is reduced and compressed Sensing techniques are used for the reconstruction. The image quality is discussed with respect to its suitability for applications in the field of industrial non-destructive testing as well as security. We present an experimental evaluation with real data of a sea freight container scanned at the high-energy testing facility of the Fraunhofer Development Center for X-ray Technology. The image quality is quantitatively assessed by a separate test specimen. We can show that Computed Tomography of very large, complex objects is technologically feasible.

: http://publica.fraunhofer.de/documents/N-326167.html