{
  "abstract": "As part of the Big Cross-Modal Attenuation Correction Challenge (BIC-MAC), we aimed to synthesise pseudo-CT images for PET/MR attenuation correction from whole-body non-attenuation-corrected PET (NAC-PET), Dixon MRI, and a two-dimensional topogram image. We developed a residual 3D U-Net in which a dedicated 2D topogram encoder provides bounded, multi-scale feature gating. The network was supervised jointly in CT and 511-keV attenuation-map space. Two complementary models, one emphasizing activity and cranial regions and one including a projection-domain attenuation-correction-factor regulariser, were combined by equal averaging in CT space. In controlled development experiments, the two training objectives yielded complementary error profiles. On the online BIC-MAC validation leaderboard, the ensemble achieved a mumap MAE of 0.005656, whole-body SUV MAE of 0.0356, organ bias of 2.65%, and brain outlier score of 0.0294. Topogram-gated multi-modal learning combines local volumetric information with global projected anatomy and provides a practical, physically informed approach to pseudo-CT synthesis for PET/MR.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.11966",
  "author_total": 4,
  "authors": [
    {
      "name": "Joris Wuts"
    },
    {
      "name": "Jakub Ceranka"
    },
    {
      "name": "Vicky De Ridder"
    },
    {
      "name": "Jef Vandemeulebroucke"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2493zvpy085rb.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.11966",
  "fulltext_url": null,
  "id": "2493zvpy085rb",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.11966",
  "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",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2741|Medical Imaging Techniques and Applications"
    ]
  ],
  "openalex": "W7212495918",
  "pdf_url": "https://arxiv.org/pdf/2609.11966",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2493zvpy085rb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:07Z",
      "native_id": "2609.11966",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.11966"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Topogram-Gated Multi-Modal Pseudo-CT Synthesis for PET/MR Attenuation Correction",
  "title_text": "Topogram-Gated Multi-Modal Pseudo-CT Synthesis for PET/MR Attenuation Correction",
  "type": "preprint",
  "updated_at": "2026-10-30T12:21:07Z",
  "url": "https://research.draconitic.com/paper/2493zvpy085rb",
  "venue": "arXiv",
  "versions": []
}