Protocol for dynamic eye-brain imaging by integrating an eye-tracking system with magnetic resonance imaging.
Authors
Barranco J,Jia Y,Fornari E,Esteban O,Ledoux JB,Leidi M,Vitali H,Carvalho CC,Najdenovska E,Raileanu LE,Bastiaansen J,Murray MM,Franceschiello B
Affiliations (10)
Affiliations (10)
- 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. Electronic address: [email protected].
- HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland; The Sense Innovation and Research Centre, Lausanne, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
- HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland.
- HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland; The Sense Innovation and Research Centre, 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.
- The Sense Innovation and Research Centre, Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
- HES-SO University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland; The Sense Innovation and Research Centre, Lausanne, Switzerland. Electronic address: [email protected].
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.<sup>1</sup>.
Topics
Journal Article