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QSM4SENIOR: Quantitative susceptibility mapping in the aging of the healthy brain

Authors: Guevara, Miguel; Cam, Davy; Badagbon, Jacques; Bottlaender, Michel; Cointepas, Yann; Mangin, Jean-François; Rochefort, Ludovic De; +1 Authors

QSM4SENIOR: Quantitative susceptibility mapping in the aging of the healthy brain

Abstract

This work presents preliminary results for the QSM4SENIOR project, a partnership between NeuroSpin (CEA) and Ventio. A poster was presented at QMR Lucca, Italy 2022, a joint workshop on MR phase, magnetic susceptibility and electrical properties mapping. It introduces a pipeline for computing the Quantitative Susceptibility Mapping (QSM) from the data of healthy senior participants (SENIOR database). The pipeline allows the computation of clean and exploitable QSM, thanks to a phase pre-processing to reduce the presence of artifacts in the 7T MRI data. These maps will be then used for studying the iron accumulation in the normal aging process. This computation was performed in a secured cloud environment, provided by de.NBI Cloud.

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France
Keywords

[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, SENIOR, R2*, QSM, cloud computing, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], iron load, Cloud, MRI

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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EGI : advanced computing for research