MRI Goes Mobile: Assessing the Reliability and Repeatability of a Mobile vs. Stationary 1.5T MRI for Functional Neuroscience Studies

Motivation: Mobile MRI scanners could transform functional neuroscience research by expanding accessibility to a more diverse population and enabling data collection in remote settings. Goal(s): To assess the reliability and repeatability of a mobile 1.5T MRI scanner compared to a stationary 1.5T scanner. Approach: Three healthy human subjects underwent MRI on both scanners across three days. The mobile scanner was relocated between measurement days to evaluate the impact of scanner movement. B0/B1+ maps, structural MP-RAGE, and functional MRI were acquired and analyzed. Results: The mobile 1.5T scanner demonstrated comparable field homogeneity and structural/functional image quality to the stationary system, with minimal impact from relocation. Impact: Mobile high-field 1.5T MRI scanners can bring neuroscience imaging to underserved areas. This study shows how a mobile scanner, even after relocation, can achieve comparable quality to a stationary scanner expanding the potential for broader functional neuroscience research.

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/10.58530/2025/2504
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

MRI Goes Mobile: Assessing the Reliability and Repeatability of a Mobile vs. Stationary 1.5T MRI for Functional Neuroscience Studies

Rüdiger Brühl, Davide Santoro, Seyed Amir Mohammadi, Sonja Sudimac 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
Functional Brain Connectivity Studies
article

MRI Goes Mobile: Assessing the Reliability and Repeatability of a Mobile vs. Stationary 1.5T MRI for Functional Neuroscience Studies

Rüdiger Brühl, Davide Santoro, Seyed Amir Mohammadi, Sonja Sudimac, Nils Bodammer, Simone Kühn, Caroline Garcia Forlim, Christoph Stefan Aigner, Sebastian Schröder, Katharina Schmalen
article en

Abstract

Motivation: Mobile MRI scanners could transform functional neuroscience research by expanding accessibility to a more diverse population and enabling data collection in remote settings. Goal(s): To assess the reliability and repeatability of a mobile 1.5T MRI scanner compared to a stationary 1.5T scanner. Approach: Three healthy human subjects underwent MRI on both scanners across three days. The mobile scanner was relocated between measurement days to evaluate the impact of scanner movement. B0/B1+ maps, structural MP-RAGE, and functional MRI were acquired and analyzed. Results: The mobile 1.5T scanner demonstrated comparable field homogeneity and structural/functional image quality to the stationary system, with minimal impact from relocation. Impact: Mobile high-field 1.5T MRI scanners can bring neuroscience imaging to underserved areas. This study shows how a mobile scanner, even after relocation, can achieve comparable quality to a stationary scanner expanding the potential for broader functional neuroscience research.

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 75%
Functional Brain Connectivity Studies
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MRI Goes Mobile: Assessing the Reliability and Repeatability of a Mobile vs. Stationary 1.5T MRI for Functional Neuroscience Studies — Rüdiger Brühl, Davide Santoro, 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