Abstract #0639

MR-Eye: A High-Resolution Motion-Resolved MRI Protocol for Anatomical Imaging of the Human Eye

Yiwei Jia^1,2,3, Bastien Milani^1,3, Oscar Esteban⁴, Eleonora Fornari^4,5, Jean-Baptiste Ledoux^4,5, Helene Vitali^6,7, Jessica Bastiaansen^8,9, and Benedetta Franceschiello^1,3

¹Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis, Sion, Switzerland, ²Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland, ³The Sense Innovation and Research Centre, Lausanne, Switzerland, ⁴Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁵CIBM Center for Biomedical Imaging, Lausanne, Switzerland, ⁶Unit for visually impaired people, Italian Institute of Technology, Genoa, Italy, ⁷Department of Computer Science, Bioengineering, Robotics and Systems, University of Genoa, Genoa, Switzerland, ⁸Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital , Bern University Hospital, University of Bern, Bern, Switzerland, ⁹Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland

Synopsis

Keywords: Artifacts, Data Analysis, Eye, Ophthalmology

Motivation: Current clinical MRI protocols for the eye are hindered by motion artifacts caused by long acquisition times, rapid eye movements, and reduced contrast around optic nerves. Addressing these challenges is crucial for reliable image quality and diagnostic accuracy.

Goal(s): To develop an eye-specific MRI protocol robust to motion artifacts.

Approach: Three healthy volunteers underwent fat-suppressed T₁-weighted and T₂-weighted gradient-recalled echo sequences (LIBRE) designed to maximize robustness to eye motion, while collecting real-time eye-tracking data for motion artifacts correction before image reconstruction.

Results: Our protocol demonstrates enhanced structural detail and image quality, quantified by Contrast Ratio (CR), SNR, CNR, and Entropy Focus Criterion (EFC).

Impact: Current MRI protocols for diagnosing orbital inflammation and tumors are prone to motion artifacts. Our motion-resolved protocol enhances structural detail and image quality in terms of quantitative metrics, advancing MRI’s diagnostic capabilities in ophthalmology.

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