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Communication Dans Un Congrès 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)

Identifiants

Citer

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. 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, IEEE, Apr 2023, Cartagena de Indias, Colombia. ⟨hal-04006152⟩
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