作者: G. Russell Glenn , Joseph A. Helpern , Ali Tabesh , Jens H. Jensen
DOI: 10.1002/NBM.3271
关键词: Diffusion MRI 、 Kurtosis 、 Lenticular nucleus 、 Tensor 、 Nuclear magnetic resonance 、 Fractional anisotropy 、 Materials science 、 Diffusion (business) 、 Statistical physics 、 Normal distribution 、 Anisotropy
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.