{
  "abstract": "Magnetic resonance imaging (MRI) is essential for examining ocular pathologies, but conventional protocols are prone to motion artifacts caused by eye movements. Here, we present a protocol for integrating eye tracking (ET) with MRI to achieve high-resolution, motion-robust imaging of the eye. We describe acquisition, reconstruction, and post-processing steps combining ET and MRI data. This approach improves structural detail, enhances image quality, and strengthens MRI’s diagnostic value in ophthalmology while paving the way for replacing hardware-based ET with machine learning solutions.\n\nFor complete details on the use and execution of this protocol, please refer to Franceschiello et al.1",
  "abstract_shown": true,
  "affiliations": [
    "HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland",
    "The Sense Innovation and Research Centre, Lausanne, Switzerland",
    "Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland",
    "Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland",
    "CIBM Center for Biomedical Imaging, Lausanne, Switzerland",
    "Unit for Visually Impaired People, Italian Institute of Technology, Genova, Italy",
    "Department of Computer Science, Bioengineering, Robotics and Systems, University of Genoa, Genova, Italy",
    "School of Engineering and Management Vaud (HEIG-VD), HES-SO University of Applied Sciences and Arts Western Switzerland, Yverdon-les-Bains, Switzerland",
    "Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland",
    "Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Jaime Barranco"
    },
    {
      "affs": [
        0,
        1,
        3
      ],
      "name": "Yiwei Jia"
    },
    {
      "affs": [
        2,
        4
      ],
      "name": "Eleonora Fornari"
    },
    {
      "affs": [
        0
      ],
      "name": "Oscar Esteban"
    },
    {
      "affs": [
        2,
        4
      ],
      "name": "Jean-Baptiste Ledoux"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Mauro Leidi"
    },
    {
      "affs": [
        5,
        6
      ],
      "name": "Helene Vitali"
    },
    {
      "affs": [
        7
      ],
      "name": "Cédric Campos Carvalho"
    },
    {
      "affs": [
        7
      ],
      "name": "Elena Najdenovska"
    },
    {
      "affs": [
        7
      ],
      "name": "Laura Elena Raileanu"
    },
    {
      "affs": [
        8,
        9
      ],
      "name": "Jessica Bastiaansen"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Micah M. Murray"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Benedetta Franceschiello"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/79nmcvx623svw.bib",
  "cited_by": 0,
  "doi": "10.1016/j.xpro.2026.104903",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13734913/",
  "id": "79nmcvx623svw",
  "issns": [
    "2666-1667"
  ],
  "landing_url": "https://doi.org/10.1016/j.xpro.2026.104903",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Protocol"
    ],
    [
      "openalex",
      "2741|Advanced MRI Techniques and Applications"
    ]
  ],
  "openalex": "W7223855301",
  "pdf_url": "https://www.cell.com/star-protocols/pdf/S2666-1667(26)00556-3.pdf",
  "pmcid": "PMC13734913",
  "pmid": "42945207",
  "published": "2026-10-27",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/79nmcvx623svw.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:20:43Z",
      "native_id": "PMC13734913",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.xpro.2026.104903"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Advanced MRI Techniques and Applications",
      "subfield": "imaging"
    }
  ],
  "title": "Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging",
  "title_text": "Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:20:43Z",
  "url": "https://research.draconitic.com/paper/79nmcvx623svw",
  "venue": "STAR Protocols",
  "versions": []
}