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Abstract #3004

Spatial characterization of signal-to-noise ratio (SNR) differences among multiple sites using a phantom

Jasmin Merhout1, Enedino Hernández-Torres1, Vanessa Wiggermann1, Finn Sellebjerg2,3, Jeppe Christensen4, Karam Sidaros1, Hartwig Siebner1,5, and Henrik Lundell1,6
1Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital – Amager and Hvidovre, DRCMR, Copenhagen, Denmark, 2Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital-Rigshospitalet, Glostrup, Copenhagen, Denmark, 3Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark, 4Department of Neurology, Danish Multiple Sclerosis Center , Copenhagen University Hospital-Rigshospitalet, Glostrup, Copenhagen, Denmark, 5Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Copenhagen, Denmark, 6Department of Health Technology, Technical University of Denmark, Lyngby, Lyngby, Denmark

Synopsis

Keywords: Data Processing, Phantoms

Motivation: The motivation came to acknowledge the aid for sequence standardization and to assess other site-related differences.

Goal(s): We aim to consider the SNR differences to improve comparability between sites in structural analysis of brain data.

Approach: We describe preliminary MRI phantom data from a longitudinal, multi-site MS study, illustrating an approach to sequence standardization and assessing site-related differences.

Results: Scan-rescan data were collected on three 3T MRI systems, using study specific, previously optimized sequences. Signal-to-noise ratio (SNR) was measured on a 16 x 16 grid structure within the phantom. Imaging voxels within the grid where algorithmically identified and SNR assessed in each cube.

Impact: Large between-site differences in SNR and spatial variability were observed, while longitudinal data showed good consistency in mean SNR and spatial appearance. These differences underscore the need for correction to improve between-site comparability.

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