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Modeling white matter microstructure
Author(s) -
Tanguy Duval,
Nikola Stikov,
Julien CohenAdad
Publication year - 2016
Publication title -
functional neurology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.505
H-Index - 42
eISSN - 1971-3274
pISSN - 0393-5264
DOI - 10.11138/fneur/2016.31.4.217
Subject(s) - white matter , magnetic resonance imaging , neuroimaging , set (abstract data type) , medicine , neuroscience , medical physics , computer science , psychology , radiology , programming language
Quantitative magnetic resonance imaging can be combined with advanced biophysical models to measure microstructural features of white matter. Non-invasive microstructural imaging has the potential to revolutionize neuroscience, and acquiring these measures in clinically feasible times would greatly improve patient monitoring and clinical studies of drug efficacy. However, a good understanding of microstructural imaging techniques is essential to set realistic expectations and to prevent over-interpretation of results. This review explains the methodology behind microstructural modeling and imaging, and gives an overview of the breakthroughs and challenges associated with it.

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