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One component? Two components? Three? The effect of including a nonexchanging “free” water component in multicomponent driven equilibrium single pulse observation of T 1 and T 2
Author(s) -
Deoni Sean C. L.,
Matthews Lucy,
Kolind Shan H.
Publication year - 2013
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24429
Subject(s) - myelin , pulse (music) , voxel , partial volume , component (thermodynamics) , biological system , nuclear magnetic resonance , free water , volume fraction , in vivo , chemistry , relaxation (psychology) , t2 relaxation , volume (thermodynamics) , materials science , thermodynamics , physics , magnetic resonance imaging , computer science , environmental science , biology , neuroscience , central nervous system , optics , microbiology and biotechnology , artificial intelligence , detector , environmental engineering , medicine , radiology
Quantitative myelin content imaging provides novel and pertinent information related to underlying pathogenetic mechanisms of myelin‐related disease or disorders arising from aberrant connectivity. Multicomponent driven equilibrium single pulse observation of T 1 and T 2 is a time‐efficient multicomponent relaxation analysis technique that provides estimates of the myelin water fraction, a surrogate measure of myelin volume. Unfortunately, multicomponent driven equilibrium single pulse observation of T 1 and T 2 relies on a two water‐pool model (myelin‐associated water and intra/extracellular water), which is inadequate within partial volume voxels, i.e., containing brain tissue and ventricle or meninges, resulting in myelin water fraction underestimation. To address this, a third, nonexchanging “free‐water” component was introduced to the multicomponent driven equilibrium single pulse observation of T 1 and T 2 model. Numerical simulations and experimental in vivo data show that the model to perform advantageously within partial volume regions while providing robust and reproducible results. It is concluded that this model is preferable for future studies and analysis. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.