Investigating the stability of mcDESPOT myelin water fraction values derived using a stochastic region contraction approach.
OBJECTIVE
Multicomponent driven equilibrium single pulse observation of T1 and T2 (mcDESPOT) is an alternative to established multiecho T2 -based approaches for quantifying myelin water fraction, affording increased volumetric coverage and spatial resolution. A concern with mcDESPOT, however, is the large number of model parameters that must be estimated, which may lead to nonunique solutions and sensitivity to fitting constraints. Here we explore mcDESPOT performance under different experimental conditions to better understand the method's sensitivity and reliability.


METHODS
To obtain parameter estimates, mcDESPOT uses a stochastic region contraction (SRC) approach to iteratively contract a predefined solution search-space around a global optimum. The sensitivity of mcDESPOT estimates to SRC boundary conditions, and tissue parameters, was examined using numerical phantoms and acquired in vivo human data.


RESULTS
The SRC approach is described and shown to return robust myelin water estimates in both numerical phantoms and in vivo data under a range of experimental conditions. However, care must be taken in choosing the initial SRC boundary conditions, ensuring they are broad enough to encompass the "true" solution.


CONCLUSIONS
Results suggest that under the range of conditions examined, mcDESPOT can provide stabile and precise values.
Advanced Baby Imaging Lab, Brown University School of Engineering, Providence, Rhode Island, USA.
Sean C L
SC
Deoni
Department of Medicine, University of British Columbia, Vancouver, Canada.
Shannon H
SH
Kolind
D000465:Algorithms; D001834:Body Water / Q000378:metabolism*; D001921:Brain / Q000378:metabolism* / Q000473:pathology; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007223:Infant; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D057054:Molecular Imaging / Q000379:methods*; D009103:Multiple Sclerosis / Q000378:metabolism* / Q000473:pathology; D009186:Myelin Sheath / Q000378:metabolism* / Q000473:pathology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes
aging; brain development; multicomponent relaxation; white matter