LUTTI, Antoine; CORBIN, Nadège; ASHBURNER, John; ZIEGLER, Gabriel; DRAGANSKI, Bogdan; PHILLIPS, Christophe; KHERIF, Ferath; CALLAGHAN, Martina F; DI DOMENICANTONIO, Giulia

doi:10.1002/hbm.25767

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

ASHBURNER, John

Langue

Article de revue

Ce document a été publié dans

Human Brain Mapping. 2022-04-15, vol. 43, n° 6, p. 1973-1983

Résumé en anglais

Motion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterise disease in patient populations. Quality control procedures allow the exclusion of the most affected images from analysis. However, the criterion for exclusion is difficult to determine objectively and exclusion can lead to a suboptimal compromise between image quality and sample size. We provide an alternative, data-driven solution that assigns weights to each image, computed from an index of image quality using restricted maximum likelihood. We illustrate this method through the analysis of quantitative MRI data. The proposed method restores the validity of statistical tests, and performs near optimally in all brain regions, despite local effects of head motion. This method is amenable to the analysis of a broad type of MRI data and can accommodate any measure of image quality.< Réduire

Mots clés en anglais

heteroscedasticity

motion artefact

quality control

quantitative MRI

statistical image analysis

URI

https://oskar-bordeaux.fr/handle/20.500.12278/139885

DOI

http://dx.doi.org/10.1002/hbm.25767

Lien vers les données de la recherche

https://zenodo.org/record/4889895#.YdgV6CDMJPY

Unités de recherche

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

Voir/Ouvrir

Métadonnées

Partager cette publication !

Licence d’utilisation du document

Restoring statistical validity in group analyses of motion-corrupted MRI data.