DocumentCode :
946911
Title :
New Perspectives on the Sources of White Matter DTI Signal
Author :
Peled, Sharon
Author_Institution :
Harvard Center for Neurodegeneration & Repair & Brigham & Women´´s Hosp., Boston
Volume :
26
Issue :
11
fYear :
2007
Firstpage :
1448
Lastpage :
1455
Abstract :
A minimalist numerical model of white matter is presented, the objective of which is to help provide a biological basis for improved diffusion tensor imaging (DTI) analysis. Water diffuses, relaxes, and exchanges in three compartments-intracellular, extracellular, and myelin sheath. Exchange between compartments is defined so as to depend on the diffusion coefficients and the compartment sizes. Based on the model, it is proposed that an additive ldquobaseline tensorrdquo that correlates with intraaxonal water volume be included in the computation. Anisotropy and tortuosity calculated from such analysis may correspond better to tract ultrastructure than if calculated without the baseline. According to the model, reduced extracellular volume causes increased baseline and reduced apparent diffusion. Depending on the pulse sequence, reduced permeability can cause an increase in both the baseline and apparent diffusion.
Keywords :
biodiffusion; biological tissues; biomedical MRI; brain; cellular transport; neurophysiology; permeability; water; MRI; additive baseline tensor; anisotropy calculation; apparent diffusion reduction; baseline diffusion; brain; compartment sizes; diffusion coefficients; diffusion tensor imaging analysis; extracellular compartments; intraaxonal water volume; intracellular compartments; magnetic resonance imaging; minimalist white matter numerical model; myelin sheath; pulse sequence; reduced permeability; tortuosity calculation; water diffusion; water exchanges; water relaxes; white matter DTI signal sources; Brain; brain; magnetic resonance imaging; magnetic resonance imaging (MRI); water diffusion; white matter (WM) disease; white matter disease; Algorithms; Body Water; Brain; Computer Simulation; Diffusion Magnetic Resonance Imaging; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Neurological; Nerve Fibers, Myelinated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2007.906787
Filename :
4359058
Link To Document :
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