Quantification of non‐Gaussianity for water diffusion in brain by means of diffusional kurtosis
imaging (DKI) is reviewed. Diffusional non‐Gaussianity is a consequence of tissue structure …

In conventional diffusion tensor imaging (DTI), water diffusion distribution is described as a
2nd‐order three‐dimensional (3D) diffusivity tensor. It assumes that diffusion occurs in a free …

Purpose To examine the usefulness of diffusion kurtosis imaging for the diagnosis of
Parkinson disease (PD). Materials and Methods Examinations were performed with the …

Conventional imaging is unable to detect damage that accounts for permanent cognitive
impairment in patients with mild traumatic brain injury (mTBI). While diffusion tensor imaging …

MR diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water
diffusion from Gaussian distribution. Mean kurtosis, the directionally averaged kurtosis, has …

Diffusion kurtosis imaging (DKI) can be used to estimate excess kurtosis, which is a
dimensionless measure for the deviation of water diffusion profile from Gaussian distribution …

Understanding the neuropathological underpinnings of mental disorders such as
schizophrenia, major depression, and bipolar disorder is an essential step towards the …

Diffusion kurtosis imaging (DKI) is an extension of diffusion tensor imaging (DTI), exhibiting
improved sensitivity and specificity in detecting developmental and pathological changes in …

Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and DKI-derived white
matter tract integrity metrics (WMTI) were experimentally evaluated ex vivo through …

Diffusion tensor imaging (DTI) is a powerful tool for the in vivo assessment of white matter
microstructure. The application of DTI methodologies to the study of schizophrenia has …