We consider a multimaterial polyenergetic digital breast tomosynthesis model taking into account the polyenergetic nature of the x-ray beam and the various materials composing the object. The multimaterial polyenergetic model requires solving a large-scale, nonlinear inverse problem which is much less susceptible to beam hardening artifacts than the typically used linear monoenergetic model. We formulate the image reconstruction process as a nonlinear least squares problem and regularized iterative techniques are considered for its solution.

This presentation is part of Minisymposium “MS33 - Advances in reconstruction algorithms for computed tomography (4 parts)”
organized by: Gunay Dogan (Theiss Research, NIST) , Harbir Antil (George Mason University) , Elena Loli Piccolomini (Dept. Computer Science and Engineering, University of Bologna) , Samuli Siltanen (University of Helsinki) .

Authors:

Germana Landi (University of Bologna)

Elena Loli Piccolomini (Dept. Computer Science and Engineering, University of Bologna)

Keywords:

computed tomography, image reconstruction, inverse problems, nonlinear optimization