Quantitative assessment of diffusional kurtosis anisotropy.

作者: G. Russell Glenn , Joseph A. Helpern , Ali Tabesh , Jens H. Jensen

DOI: 10.1002/NBM.3271

关键词: Diffusion MRIKurtosisLenticular nucleusTensorNuclear magnetic resonanceFractional anisotropyMaterials scienceDiffusion (business)Statistical physicsNormal distributionAnisotropy

摘要: Diffusional kurtosis imaging (DKI) measures the diffusion and tensors to quantify restricted, non-Gaussian that occurs in biological tissue. By estimating tensor, DKI accounts for higher order dynamics, when compared with tensor (DTI), consequently can describe more complex profiles. Here, we compare several of diffusional anisotropy which incorporate information from including fractional (KFA) generalized (GFA), tensor-derived (FA). KFA GFA demonstrate a net enhancement relative FA multiple white matter fiber bundle orientations are present both simulated human data. In addition, shows deep brain structures, such as thalamus lenticular nucleus, where indicates low anisotropy. Thus, provide additional regard anisotropy, may be particularly advantageous assessment tissue environments.

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