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Peer-reviewedCC BY 4.0STAR Protocols

Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging

  • Jaime Barranco1,2,3
  • Yiwei Jia1,2,4
  • Eleonora Fornari3,5
  • Oscar Esteban1
  • Jean-Baptiste Ledoux3,5
  • Mauro Leidi1,2
  • Helene Vitali6,7
  • Cédric Campos Carvalho8
  • Elena Najdenovska8
  • Laura Elena Raileanu8
  • Jessica Bastiaansen9,10
  • Micah M. Murray2,3
1 more authors
  • Benedetta Franceschiello1,2
10 affiliations
  1. 1HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland
  2. 2The Sense Innovation and Research Centre, Lausanne, Switzerland
  3. 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
  4. 4Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
  5. 5CIBM Center for Biomedical Imaging, Lausanne, Switzerland
  6. 6Unit for Visually Impaired People, Italian Institute of Technology, Genova, Italy
  7. 7Department of Computer Science, Bioengineering, Robotics and Systems, University of Genoa, Genova, Italy
  8. 8School of Engineering and Management Vaud (HEIG-VD), HES-SO University of Applied Sciences and Arts Western Switzerland, Yverdon-les-Bains, Switzerland
  9. 9Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
  10. 10Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
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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.

For complete details on the use and execution of this protocol, please refer to Franceschiello et al.1

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Cite

BibTeXRIS
BibTeX
@article{barranco2026protocol,
  title = {{Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging}},
  author = {Jaime Barranco and Yiwei Jia and Eleonora Fornari and Oscar Esteban and Jean-Baptiste Ledoux and Mauro Leidi and Helene Vitali and Cédric Campos Carvalho and Elena Najdenovska and Laura Elena Raileanu and Jessica Bastiaansen and Micah M. Murray and Benedetta Franceschiello},
  journal = {STAR Protocols},
  year = {2026},
  month = oct,
  doi = {10.1016/j.xpro.2026.104903},
  url = {https://doi.org/10.1016/j.xpro.2026.104903},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging
AU  - Jaime Barranco
AU  - Yiwei Jia
AU  - Eleonora Fornari
AU  - Oscar Esteban
AU  - Jean-Baptiste Ledoux
AU  - Mauro Leidi
AU  - Helene Vitali
AU  - Cédric Campos Carvalho
AU  - Elena Najdenovska
AU  - Laura Elena Raileanu
AU  - Jessica Bastiaansen
AU  - Micah M. Murray
AU  - Benedetta Franceschiello
PY  - 2026
DA  - 2026/10/27
JO  - STAR Protocols
DO  - 10.1016/j.xpro.2026.104903
UR  - https://doi.org/10.1016/j.xpro.2026.104903
AB  - 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.  For complete details on the use and execution of this protocol, please refer to Franceschiello et al.1
SN  - 2666-1667
ER  -