Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology.

Détails

ID Serval
serval:BIB_C7EB873145D3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology.
Périodique
Magnetic resonance in medicine
Auteur(s)
Piredda G.F., Hilbert T., Granziera C., Bonnier G., Meuli R., Molinari F., Thiran J.P., Kober T.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Statut éditorial
Publié
Date de publication
01/2020
Peer-reviewed
Oui
Volume
83
Numéro
1
Pages
337-351
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
To exploit the improved comparability and hardware independency of quantitative MRI, databases of MR physical parameters in healthy tissue are required, to which tissue properties of patients can be compared. In this work, normative values for longitudinal and transverse relaxation times in the brain were established and tested in single-subject comparisons for detection of abnormal relaxation times.
Relaxometry maps of the brain were acquired from 52 healthy volunteers. After spatially normalizing the volumes into a common space, T <sub>1</sub> and T <sub>2</sub> inter-subject variability within the healthy cohort was modeled voxel-wise. A method for a single-subject comparison against the atlases was developed by computing z-scores with respect to the established healthy norms. The comparison was applied to two multiple sclerosis and one clinically isolated syndrome cases for a proof of concept.
The established atlases exhibit a low variation in white matter structures (median RMSE of models equal to 32 ms for T <sub>1</sub> and 4 ms for T <sub>2</sub> ), indicating that relaxation times are in a narrow range for normal tissues. The proposed method for single-subject comparison detected relaxation time deviations from healthy norms in the example patient data sets. Relaxation times were found to be increased in brain lesions (mean z-scores >5). Moreover, subtle and confluent differences (z-scores ~2-4) were observed in clinically plausible regions (between lesions, corpus callosum).
Brain T <sub>1</sub> and T <sub>2</sub> quantitative norms were derived voxel-wise with low variability in healthy tissue. Example patient deviation maps demonstrated good sensitivity of the atlases for detecting relaxation time alterations.
Mots-clé
T1 and T2 mapping, normative atlases, quantitative MRI, single-subject comparisons
Pubmed
Web of science
Création de la notice
11/09/2019 14:02
Dernière modification de la notice
23/10/2019 5:13
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