Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy - Archive ouverte HAL Accéder directement au contenu
Proceedings/Recueil Des Communications Année : 2023

Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy

Résumé

In vivo metabolite quantification by short echo time MR spectroscopy is a challenge for which various methods have been proposed. In this study, the reproducibility of quantification outcomes is questioned at three distinct levels: (i) between-software (LCModel and cQUEST), (ii) withinsoftware (with different parameter sets), and (iii) across software executions (when the fitting algorithm uses random seeds, like cQUEST). After running multiple quantification tasks on a dedicated platform (VIP), metrics from Bland-Altman analysis were used to assess the variability of outcomes in signals acquired on a lysolecithin rat model, from a study on demyelination. Results show substantial variations at the three levels, allowing for more potent analyses than from a single parameter set / single software point of view.
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Dates et versions

hal-04006152 , version 1 (08-03-2023)

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Gaël Vila, Axel Bonnet, Fabien Chauveau, Sophie Gaillard, Françoise Durand-Dubief, et al.. Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy. IEEE International Symposium on Biomedical Imaging, 2023. ⟨hal-04006152⟩
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