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.
Keywords
- Image Quality
- Reconstruction Algorithm
- Projection Image
- Digital Mammography
- Reconstruction Approach
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Claus, B.E.H., Eberhard, J.W., Schmitz, A., Carson, P., Goodsitt, M., Chan, HP. (2006). Generalized Filtered Back-Projection Reconstruction in Breast Tomosynthesis. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_24
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DOI: https://doi.org/10.1007/11783237_24
Publisher Name: Springer, Berlin, Heidelberg
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