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Abstract #4005

Fully automated fBIRN-like stability assessment: follow-up and case report at 7T

Franck Mauconduit1, Evelyn Eger2, Chantal Ginisty3, Valérie Berland3, Yann Lecomte3, Lionel Allirol3, Lucie Hertz-Pannier3, and Alexandre Vignaud1
1NeuroSpin (UNIRS) & Université Paris-Saclay, CEA, Gif-sur-Yvette, France, 2NeuroSpin (UNICOG) & Université Paris-Saclay, CEA, Gif-sur-Yvette, France, 3NeuroSpin (UNIACT) & Université Paris-Saclay, CEA, Gif-sur-Yvette, France

Functional Magnetic Resonance Imaging relies on weak blood oxygen level dependent signal variations. Therefore, it is extremely sensitive to MR scanner instabilities. A regular assessment of the device was shown to help preserving a good quality of fMRI data. It is also a powerful tool to compare systems. Here, we integrated a Quality Assessment based on fBIRN recommendations that can be automatically launched and reconstructed online to be able to immediately monitor system performances. We report cases where abnormal situations leading to suboptimal fMRI data were revealed which would have been missed if only relying on the manufacturer’s test service.

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