Monte Carlo optimization of an industrial tomography system

Computed tomography (CT) is becoming a very useful non-destructive testing technique, in the industrial field, since it permits the detection of small inner defects in a reliable and accurate way. In order to get very good performance, in terms of image contrast and spatial resolution, the configura...

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Main Authors: Berdondini, A., Hofmann, J., Pasini, A., Rossi, A., Bettuzzi, M., Bianconi, D., Brancaccio, R., Casali, F., Cornacchia, S., Flisch, A., Lanconelli, N., Morigi, M.P.
Format: Conference Proceeding
Language:English
Subjects:
Computed tomography
Computer industry
Electromagnetic scattering
Filtering
Monte Carlo methods
Nondestructive testing
Particle scattering
Spatial resolution
X-ray imaging
X-ray scattering
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Summary:Computed tomography (CT) is becoming a very useful non-destructive testing technique, in the industrial field, since it permits the detection of small inner defects in a reliable and accurate way. In order to get very good performance, in terms of image contrast and spatial resolution, the configuration of the tomography system has to be optimized carefully. Monte Carlo simulations can be a very helpful method, for choosing different conditions and selecting the best configuration of a CT system. In this paper we present a preliminary optimization of an industrial CT apparatus, obtained by means of Monte Carlo simulations. The system is composed of an X-ray tube, filtering and collimation devices, and a detector made of a scintillator coupled to a CCD camera. We focus our attention on large aluminum objects and investigate the contribution of the scattered radiation. Some options have been simulated, for reducing the scattering photons, thus improving the overall image quality
ISSN:1082-3654
2577-0829
DOI:10.1109/NSSMIC.2005.1596390