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.
@article{arxiv.2406.07306,
title = {A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis},
author = {Emil Y. Sidky and Xiangyi Wu and Xiaoyu Duan and Hailing Huang and Wei Zhao and Leo Y. Zhang and John Paul Phillips and Zheng Zhang and Buxin Chen and Dan Xia and Ingrid S. Reiser and Xiaochuan Pan},
journal= {arXiv preprint arXiv:2406.07306},
year = {2024}
}
Comments
Proceedings paper for accepted contribution to the 8th International Conference on Image Formation in X-Ray Computed Tomography (https://www.ct-meeting.org)