{
  "abstract": "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2605.29133",
  "author_total": 7,
  "authors": [
    {
      "name": "Emil Y. Sidky"
    },
    {
      "name": "Adrian A. Sanchez"
    },
    {
      "name": "John Paul Phillips"
    },
    {
      "name": "Zheng Zhang"
    },
    {
      "name": "Dan Xia"
    },
    {
      "name": "Ingrid S. Reiser"
    },
    {
      "name": "Xiaochuan Pan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ep93q68fhg2kj.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2605.29133",
  "fulltext_url": null,
  "id": "ep93q68fhg2kj",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2605.29133",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "math.OC"
    ],
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2740|Digital Radiography and Breast Imaging"
    ]
  ],
  "openalex": "W7162810021",
  "pdf_url": "https://arxiv.org/pdf/2605.29133",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ep93q68fhg2kj.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:56Z",
      "native_id": "2605.29133",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2605.29133"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT",
  "title_text": "Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:00Z",
  "url": "https://research.draconitic.com/paper/ep93q68fhg2kj",
  "venue": "arXiv",
  "versions": []
}