Abstract
Breast tomosynthesis is a new 3D imaging technique providing 3D slices of the breast. The computation of 3D slices from a set of 2D projections is performed with a reconstruction algorithm – either a filtered backprojection (FBP) or an algebraic iterative reconstruction method. Both approaches yield different image characteristics of the reconstructed object. The algebraic method has the main disadvantage of a very long processing time. We experimentally developed a set of filter kernels for FBP, determined by iterative reconstruction providing similar image characteristics and quality as an algebraic reconstruction. Additionally we showed that it is possible to approximate these kernels by a polynomial function of order 4. Using clinical data sets we demonstrate how the image quality and the image impression can be varied by using different reconstruction methods.
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Ludwig, J., Mertelmeier, T., Kunze, H., Härer, W. (2008). A Novel Approach for Filtered Backprojection in Tomosynthesis Based on Filter Kernels Determined by Iterative Reconstruction Techniques. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_85
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DOI: https://doi.org/10.1007/978-3-540-70538-3_85
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