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Article type: Research Article
Authors: Fedrigo, Mattia | Wenger, Andreas | Hoeschen, Christoph
Affiliations: Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Neuherberg, Germany
Note: [] Corresponding author: Mattia Fedrigo, Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany. Tel.: +49 89 3187 2405; Fax: +49 89 3187 19 2405; E-mail: mattia.fedrigo@poste.it
Abstract: A novel strategy to perform tomographic image reconstruction is presented, based on the integration of a priori information about the target image. Such information may come from a different imaging tool or a synthetic model. For a given image quality, providing a priori image information reduces the amount of image information to be reconstructed. According to the data processing inequality this requires less input data or physical measurements, therefore reducing exposure to ionising radiation. A prototype algorithm is described, consisting of a penalized ART where some a priori edge information is encoded in an inhomogeneous, anisotropic smoothing kernel. The algorithm is tested on a 2-dimensional set-up based on the Shepp-Logan phantom.
Keywords: Tomographic reconstruction, a priori information, edge detection, algebraic reconstruction method, complexity penalization
DOI: 10.3233/XST-2012-0314
Journal: Journal of X-Ray Science and Technology, vol. 20, no. 1, pp. 1-10, 2012
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