CORBIN, Nadège; OLIVEIRA, Rita; RAYNAUD, Quentin; DI DOMENICANTONIO, Giulia; DRAGANSKI, Bogdan; KHERIF, Ferath; CALLAGHAN, Martina F; LUTTI, Antoine

doi:10.1016/j.jneumeth.2023.109950

CORBIN, Nadège
Centre de résonance magnétique des systèmes biologiques [CRMSB]

OLIVEIRA, Rita

RAYNAUD, Quentin

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Article de revue

Ce document a été publié dans

Journal of Neuroscience Methods. 2023-10-01, vol. 398, p. 109950

Résumé en anglais

Consistent noise variance across data points (i.e. homoscedasticity) is required to ensure the validity of statistical analyses of MRI data conducted using linear regression methods. However, head motion leads to degradation of image quality, introducing noise heteroscedasticity into ordinary-least square analyses. The recently introduced QUIQI method restores noise homoscedasticity by means of weighted least square analyses in which the weights, specific for each dataset of an analysis, are computed from an index of motion-induced image quality degradation. QUIQI was first demonstrated in the context of brain maps of the MRI parameter R2 * , which were computed from a single set of images with variable echo time. Here, we extend this framework to quantitative maps of the MRI parameters R1, R2 * , and MTsat, computed from multiple sets of images. QUIQI restores homoscedasticity in analyses of quantitative MRI data computed from multiple scans. QUIQI allows for optimization of the noise model by using metrics quantifying heteroscedasticity and free energy. QUIQI restores homoscedasticity more effectively than insertion of an image quality index in the analysis design and yields higher sensitivity than simply removing the datasets most corrupted by head motion from the analysis. QUIQI provides an optimal approach to group-wise analyses of a range of quantitative MRI parameter maps that is robust to inherent homoscedasticity.< Réduire

Mots clés en anglais

Algorithms

Reproducibility of Results

Magnetic Resonance Imaging

Brain

Motion

URI

https://oskar-bordeaux.fr/handle/20.500.12278/184805

DOI

http://dx.doi.org/10.1016/j.jneumeth.2023.109950

Unités de recherche

Centre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536

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Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans

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