The breast cancer is a deadly disease and one of the types with higher incidence. It is
asymptomatic at earlier stages, but it has a high survival rate at the earliest stages. These
characteristics make the screening and the accurate diagnostic important issues. With the
aim of reduce the damage caused by breast diseases, new image techniques have arisen
and the current techniques are in constantly improving. Digital Breast Tomosynthesis
appears as an improvement to the mammography, which is considered the gold standard …

The present work aim to evaluate image reconstruction algorithms for Digital Breast
Tomosynthesis. Simulated data was used to perform and assess the 3D reconstruction. The
images were acquired in a Monte Carlo platform and using an analytical phantom. The
reconstruction step was performed, implementing Filtered Back Projection (FBP), Maximum-
Likelihood Expectation-Maximization (ML-EM) and Algebraic Reconstruction Technique
(ART). Comparable results were obtained by the three algorithms. The FBP algorithm …