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: [email protected]
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.
