Paper
12 July 2011 Secondary radiations in CBCT: a simulation study
Patricia Wils, Jean M. Létang, Jean-Pierre Bruandet
Author Affiliations +
Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000D (2011) https://doi.org/10.1117/12.890510
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France
Abstract
Accurate quantitative reconstruction in kV cone-beam computed tomography (CBCT) is challenged by the presence of secondary radiations (scattering, fluorescence and bremsstrahlung photons) coming from the object and from the flat-panel detector itself. This paper presents a simulation study of the CBCT imaging chain as a first step towards the development of a comprehensive correction algorithm. A layer model of the detector is built in a Monte Carlo environment in order to help localizing and analyzing the secondary radiations. The contribution of these events to the final image is estimated with a forced-detection scheme to speed-up the Monte Carlo simulation without loss of accuracy. We more specifically assess to what extent a 2D description of the flat-panel detector would be sufficient for the forward model (i.e. the image formation process) of an iterative correction algorithm, both in terms of energy and incidence angle of incoming photons. A convolution model to account for detector secondary radiations is presented and validated. Results show that both object and detector secondary radiations have to be considered in CBCT.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patricia Wils, Jean M. Létang, and Jean-Pierre Bruandet "Secondary radiations in CBCT: a simulation study", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000D (12 July 2011); https://doi.org/10.1117/12.890510
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KEYWORDS
Sensors

Monte Carlo methods

Luminescence

Convolution

Algorithm development

Detection and tracking algorithms

Image processing

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