Abstract
Tomosynthesis reconstruction that produces high-quality images is a difficult problem, due mainly to the highly incomplete data. In this work we present a motivation for the generalized filtered backprojection (GFBP) approach to tomosynthesis reconstruction. This approach is fast (since non-iterative), flexible, and results in reconstructions with an image quality that is similar or superior to reconstructions that are mathematically optimal, Results based on synthetic data and patient data are presented. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Claus, B. E. H., Eberhard, J. W., Schmitz, A., Carson, P., Goodsitt, M., & Chan, H. P. (2006). Generalized filtered back-projection reconstruction in breast tomosynthesis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4046 LNCS, pp. 167–174). Springer Verlag. https://doi.org/10.1007/11783237_24
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