Longitudinal stability of MRI for mapping brain change using tensor-based morphometry

Measures of brain change can be computed from sequential MRI scans, providing valuable information on disease progression, e.g., for patient monitoring and drug trials. Tensor-based morphometry (TBM) creates maps of these brain changes, visualizing the 3D profile and rates of tissue growth or atroph...

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Главные авторы: Leow, Alex D., Klunder, Andrea D., Jack, Clifford R., Toga, Arthur W., Dale, Anders M., Bernstein, Matt A., Britson, Paula J., Gunter, Jeffrey L., Ward, Chadwick P., Whitwell, Jennifer L., Borowski, Bret J., Fleisher, Adam S., Fox, Nick C., Harvey, Danielle, Kornak, John, Schuff, Norbert, Studholme, Colin, Alexander, Gene E., Weiner, Michael W., Thompson, Paul M.
Формат: Artigo
Язык:Inglês
Опубликовано: 2006
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC1941663/
https://ncbi.nlm.nih.gov/pubmed/16480900
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2005.12.013
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