arXiv · 2406.07306
A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis
Abstract
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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Emil Y. Sidky, Xiangyi Wu, Xiaoyu Duan, Hailing Huang, Wei Zhao, Leo Y. Zhang, John Paul Phillips, Zheng Zhang, Buxin Chen, Dan Xia, Ingrid S. Reiser, Xiaochuan Pan. 2024-06-11. A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis. https://arxiv.org/abs/2406.07306
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