Image quality metrics of breast tomosyntesis: Studies with deformable anthropomorphic phantoms

Abstract

Digital Breast Tomosynthesis (DBT) is a relatively new technology and in order to perform quality controls of the images obtained by that equipment, specific 3 dimensional phantoms are required that simulate a woman breast the best as possible. The objective of this work is to design virtual phantoms (in-silico) based on images obtained from DBT system to use them in the manufacture of anthropomorphic breast phantoms with elastomeric materials such as polyvinil alcohol and silicone. DBT images will also be acquired to train a analysis model based on machine learning. The quality of phantoms will be validated from mammographic images. Finally, compression forces and image quality tests will be performed with the new phantoms.