Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors
q-vector
Adult
Male
Microscopic fractional anisotropy
Radiology and Medical Imaging
Cognitive Neuroscience
03 medical and health sciences
Microscopic
0302 clinical medicine
Magic angle spinning of the
Image Processing, Computer-Assisted
Humans
Computer Simulation
14. Life underwater
Gray Matter
10. No inequality
Brain Neoplasms
Brain
Diffusion weighted imaging
Middle Aged
Microscopic anisotropy
Magic angle spinning of the q-vector
White Matter
Diffusion Tensor Imaging
Neurology
Anisotropy
Female
Glioblastoma
Meningioma
Order parameter
fractional anisotropy
Radiology, Nuclear Medicine and Medical Imaging
DOI:
10.1016/j.neuroimage.2014.09.057
Publication Date:
2014-10-04T06:53:40Z
AUTHORS (10)
ABSTRACT
The anisotropy of water diffusion in brain tissue is affected by both disease and development. This change can be detected using MRI often quantified the fractional (FA) derived from tensor imaging (DTI). Although FA sensitive to anisotropic cell structures, such as axons, it also their orientation dispersion. a major limitation use biomarker for "tissue integrity", especially regions complex microarchitecture. In this work, we seek circumvent disentangling effects microscopic (μFA) order parameter (OP) were calculated contrast between signal prepared with directional isotropic encoding, where latter was achieved magic angle spinning q-vector (qMAS). These parameters healthy volunteers two patients; one patient meningioma glioblastoma. Finally, used simulations elucidate relation μFA various micro-architectures. Generally, high white matter low gray matter. matter, largest differences found crossing interfaces large tracts, while low. Both tumor types exhibited FA, which glioblastoma, indicating that contained disordered glioblastoma did not. interpretation confirmed histological examination. We conclude DTI reflects amount suggest OP may complement independently quantifying level coherence.
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