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Bibliographic Details
Main Authors:	Sidky, Emil Y., Wu, Xiangyi, Duan, Xiaoyu, Huang, Hailing, Zhao, Wei, Zhang, Leo Y., Phillips, John Paul, Zhang, Zheng, Chen, Buxin, Xia, Dan, Reiser, Ingrid S., Pan, Xiaochuan
Format:	Preprint
Published:	2024
Subjects:	Medical Physics
Online Access:	https://arxiv.org/abs/2406.07306
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Table of Contents:

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.

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