Divergent topological networks in Alzheimer’s disease: a diffusion kurtosis imaging analysis
Abstract Background Brain consists of plenty of complicated cytoarchitecture. Gaussian-model based diffusion tensor imaging (DTI) is far from satisfactory interpretation of the structural complexity. Diffusion kurtosis imaging (DKI) is a tool to determine brain non-Gaussian diffusion properties. We...
Main Authors: | Jia-Xing Cheng, Hong-Ying Zhang, Zheng-Kun Peng, Yao Xu, Hui Tang, Jing-Tao Wu, Jun Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-04-01
|
Series: | Translational Neurodegeneration |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40035-018-0115-y |
Similar Items
-
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging
by: Johann-Martin Hempel, et al.
Published: (2021-05-01) -
Postnatal Guinea Pig Brain Development, as Revealed by Magnetic Resonance and Diffusion Kurtosis Imaging
by: Roger J. Mullins, et al.
Published: (2020-06-01) -
Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson’s disease
by: Junyan Sun, et al.
Published: (2021-09-01) -
Differentiating between Alzheimer’s disease, amnestic mild cognitive impairment, and normal aging via diffusion kurtosis imaging
by: Guo-Ping Song, et al.
Published: (2019-01-01) -
Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer
by: Wei Yue, et al.
Published: (2019-02-01)