Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT

@misc{sidky2026improving,
  title = {{Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT}},
  author = {Emil Y. Sidky and Adrian A. Sanchez and John Paul Phillips and Zheng Zhang and Dan Xia and Ingrid S. Reiser and Xiaochuan Pan},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2605.29133},
  eprint = {2605.29133},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.29133},
  note = {CC BY 4.0},
}

TY  - UNPB
TI  - Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT
AU  - Emil Y. Sidky
AU  - Adrian A. Sanchez
AU  - John Paul Phillips
AU  - Zheng Zhang
AU  - Dan Xia
AU  - Ingrid S. Reiser
AU  - Xiaochuan Pan
PY  - 2026
DA  - 2026/09/22
PB  - arXiv
DO  - 10.48550/arxiv.2605.29133
UR  - https://arxiv.org/abs/2605.29133
AB  - Purpose: This work aims to develop an image reconstruction algorithm for wide-angle digital breast tomosynthesis (DBT) that has improved depth resolution and in-plane contrast while reducing non-uniformity artifacts. Approach: The image reconstruction algorithm is an extension of our prior work on sparsity-regularized iterative image reconstruction. The algorithm is performed in two stages as explained in a prior work. The first stage consists of a low-resolution reconstruction that exploits sparsity for quantitative accuracy. In this work, this first stage is augmented with a formulation that includes the estimation of a "background" image, which absorbs low-frequency artifacts that cause image non-uniformity. Results: The new algorithm is demonstrated on three patient cases for which the data are acquired on a wide-angle DBT system. Conclusion: The results on the shown cases indicate that the algorithm design goals have been met, but additional empirical results and task-based assessment are needed to strengthen this conclusion.
ER  -