English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In vivo metabolite quantification by short echo time MR spectroscopy is achallenge for which various methods have been proposed. In this study, thereproducibility of quantification outcomes is questioned at three distinctlevels: (i) between-software (LCModel and cQUEST), (ii) withinsoftware (withdifferent parameter sets), and (iii) across software executions (when thefitting algorithm uses random seeds, like cQUEST). After running multiplequantification tasks on a dedicated platform (VIP), metrics from Bland-Altmananalysis were used to assess the variability of outcomes in signals acquired ona lysolecithin rat model, from a study on demyelination. Results showsubstantial variations at the three levels, allowing for more potent analysesthan from a single parameter set / single software point of view.

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