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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0639
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Eleonora Fornari, Benedetta Franceschiello, Oscar Estéban, Jessica Bastiaansen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

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

Eleonora Fornari, Benedetta Franceschiello, Oscar Estéban, Jessica Bastiaansen, Helene Vitali, Bastien Milani, Yiwei Jia, Jean‐Baptiste Ledoux
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Advanced MRI Techniques and Applications
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MR-Eye: A High-Resolution Motion-Resolved MRI Protocol for Anatomical Imaging of the Human Eye — Eleonora Fornari, Benedetta Franceschiello, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS