TY - JOUR A1 - Lück, S. A1 - Kupsch, Andreas A1 - Lange, Axel A1 - Hentschel, Manfred P. A1 - Schmidt, V. T1 - Statistical analysis of tomographic reconstruction algorithms by morphological image characteristics N2 - We suggest a procedure for quantitative quality control of tomographic reconstruction algorithms. Our task-oriented evaluation focuses on the correct reproduction of phase boundary length and has thus a clear implication for morphological image analysis of tomographic data. Indirectly the method monitors accurate reproduction of a variety of locally defined critical image features within tomograms such as interface positions and microstructures, debonding, cracks and pores. Tomographic errors of such local nature are neglected if only global integral characteristics such as mean squared deviation are considered for the evaluation of an algorithm. The significance of differences in reconstruction quality between algorithms is assessed using a sample of independent random scenes to be reconstructed. These are generated by a Boolean model and thus exhibit a substantial stochastic variability with respect to image morphology. It is demonstrated that phase boundaries in standard reconstructions by filtered backprojection exhibit substantial errors. In the setting of our simulations, these could be significantly reduced by the use of the innovative reconstruction algorithm DIRECTT. KW - Tomography KW - Computed tomography KW - Reconstruction algorithm KW - Morphological image analysis KW - Phase boundary KW - Metrology KW - Non-destructive testing PY - 2010 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-210710 SN - 1580-3139 SN - 1854-5165 VL - 29 SP - 61 EP - 77 CY - Ljubljana, Slovenia AN - OPUS4-21071 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -