  An optimization-based image reconstruction algorithm is developed for
contrast enhanced digital breast tomosynthesis (DBT) using dual-energy
scanning. The algorithm minimizes directional total variation (TV) with a data
discrepancy and non-negativity constraints. Iodinated contrast agent (ICA)
imaging is performed by reconstructing images from dual-energy DBT data
followed by weighted subtraction. Physical DBT data is acquired with a Siemens
Mammomat scanner of a structured breast phantom with ICA inserts. Results are
shown for both directional TV minimization and filtered back-projection for
reference. It is seen that directional TV is able to substantially reduce depth
blur for the ICA objects.
