Abstract

The traditional approach for measuring myelin-associated water with quantitative magnetic resonance imaging (MRI) uses multi-echo T2 relaxation data to calculate the myelin water fraction (MWF). A fundamentally different approach, abbreviated “mcDESPOT”, uses a more efficient steady-state acquisition to generate an equivalent metric (fM). Although previous studies have demonstrated inherent instability and bias in the complex mcDESPOT analysis procedure, fM has often been used as a surrogate for MWF. We produced and compared multivariate atlases of MWF and fM in healthy human brain and cervical spinal cord (available online) and compared their ability to detect multiple sclerosis pathology. A significant bias was found in all regions (p < 10–5), albeit reversed for spinal cord (fM-MWF =  − 3.4%) compared to brain (+ 6.2%). MWF and fM followed an approximately linear relationship for regions with MWF <  ~ 10%. For MWF >  ~ 10%, the relationship broke down and fM no longer increased in tandem with MWF. For multiple sclerosis patients, MWF and fM Z score maps showed overlapping areas of low Z score and similar trends between patients and brain regions, although those of fM generally had greater spatial extent and magnitude of severity. These results will guide future choice of myelin-sensitive quantitative MRI and improve interpretation of studies using either myelin imaging approach.

Details

Title
Comparison of multi echo T2 relaxation and steady state approaches for myelin imaging in the central nervous system
Author
Dvorak, Adam V 1 ; Ljungberg Emil 2 ; Vavasour, Irene M 3 ; Lee, Lisa Eunyoung 4 ; Abel, Shawna 4 ; Li David K B 5 ; Traboulsee, Anthony 4 ; MacKay, Alex L 3 ; Kolind, Shannon H 6 

 University of British Columbia, Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, International Collaboration on Repair Discoveries (ICORD), Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 King’s College London, Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764) 
 University of British Columbia, Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Radiology, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia, Medicine (Neurology), Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia, Radiology, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Medicine (Neurology), Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 University of British Columbia, Physics and Astronomy, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, International Collaboration on Repair Discoveries (ICORD), Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Radiology, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Medicine (Neurology), Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2477823705
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.