{
  "abstract": "This work provides an insight into positron emission tomography (PET) joint image reconstruction/motion estimation (JRM) by maximization of the likelihood, where the probabilistic model accounts for warped attenuation. Our analysis shows that maximum-likelihood (ML) JRM returns the same reconstructed gates for any attenuation map (μ-map) that is a deformation of a given μ-map, regardless of its alignment with the PET gates. We derived a joint optimization algorithm accordingly, and applied it to simulated and patient gated PET data. We first evaluated the proposed algorithm on simulations of respiratory gated PET/CT data based on the XCAT phantom. Our results show that independently of which μ-map is used as input to JRM: (i) the warped μ-maps correspond to the gated μ-maps, (ii) JRM outperforms the traditional post-registration reconstruction and consolidation (PRRC) for hot lesion quantification and (iii) reconstructed gated PET images are similar to those obtained with gated μ-maps. This suggests that a breath-held μ-map can be used. We then applied JRM on patient data with a μ-map derived from a breath-held high resolution CT (HRCT), and compared the results with PRRC, where each reconstructed PET image was obtained with a corresponding cine-CT gated μ-map. Results show that JRM with breath-held HRCT achieves similar reconstruction to that using PRRC with cine-CT. This suggests a practical low-dose solution for implementation of motion-corrected respiratory gated PET/CT.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Alexandre Bousse"
    },
    {
      "name": "Ottavia Bertolli"
    },
    {
      "name": "David Atkinson"
    },
    {
      "name": "Simon Arridge"
    },
    {
      "name": "Sébastien Ourselin"
    },
    {
      "name": "Brian Hutton"
    },
    {
      "name": "Kris Thielemans"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8rrrc0bpmj8k5.bib",
  "cited_by": 50,
  "doi": "10.1109/tmi.2015.2464156",
  "fulltext_url": null,
  "id": "8rrrc0bpmj8k5",
  "issns": [
    "0278-0062"
  ],
  "landing_url": "https://hal.science/hal-05763818v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.phys"
    ],
    [
      "hal",
      "1.phys.phys"
    ],
    [
      "hal",
      "2.phys.phys.phys-med-ph"
    ],
    [
      "openalex",
      "2741|Medical Imaging Techniques and Applications"
    ]
  ],
  "openalex": "W2199833690",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-25",
  "publisher": "Institute of Electrical and Electronics Engineers",
  "ris": "https://research.draconitic.com/paper/8rrrc0bpmj8k5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:40Z",
      "native_id": "hal-05763818",
      "source": "hal",
      "url": "https://hal.science/hal-05763818v1"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "hal:2.phys.phys.phys-med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map",
  "title_text": "Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:40Z",
  "url": "https://research.draconitic.com/paper/8rrrc0bpmj8k5",
  "venue": "IEEE Transactions on Medical Imaging",
  "versions": []
}