In Vivo Quantitative Susceptibility Mapping (QSM) in Alzheimer's Disease
This study explores the magnetostatic properties of the Alzheimer's disease brain using a recently proposed, magnetic resonance imaging, postprocessed contrast mechanism. Quantitative susceptibility mapping (QSM) has the potential to monitor in vivo iron levels by reconstructing magnetic suscep...
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Published in | PloS one Vol. 8; no. 11; p. e81093 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
21.11.2013
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | This study explores the magnetostatic properties of the Alzheimer's disease brain using a recently proposed, magnetic resonance imaging, postprocessed contrast mechanism. Quantitative susceptibility mapping (QSM) has the potential to monitor in vivo iron levels by reconstructing magnetic susceptibility sources from field perturbations. However, with phase data acquired at a single head orientation, the technique relies on several theoretical approximations and requires fast-evolving regularisation strategies.
In this context, the present study describes a complete methodological framework for magnetic susceptibility measurements with a review of its theoretical foundations.
The regional and whole-brain cross-sectional comparisons between Alzheimer's disease subjects and matched controls indicate that there may be significant magnetic susceptibility differences for deep brain nuclei--particularly the putamen--as well as for posterior grey and white matter regions. The methodology and findings described suggest that the QSM method is ready for larger-scale clinical studies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceived and designed the experiments: JAC GBW PJN. Performed the experiments: JAC RJA VL PJN. Analyzed the data: JAC ACB PJN. Contributed reagents/materials/analysis tools: JAC GBW ACB. Wrote the paper: JAC GBW ACB PJN. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0081093 |