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Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis. [PDF]
Yoshida S +16 more
europepmc +1 more source
Value of diffusion kurtosis imaging in assessing low-grade gliomas
Background Diffusion kurtosis imaging (DKI) measures have been shown to provide increased sensitivity relative to diffusion tensor imaging (DTI) in detecting pathologies.
Andrew A Maudsley, Mohammed Z Goryawala
exaly +2 more sources
MR diffusion kurtosis imaging for neural tissue characterizationâ€
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 and unrestricted environment with a Gaussian distribution of ...
Ed X Wu, Matthew M Cheung
exaly +2 more sources
Optimal Experimental Design for Diffusion Kurtosis Imaging
: Diffusion kurtosis imaging (DKI) is a new magnetic resonance imaging (MRI) model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI parameters, such as the radial or axial kurtosis, are more sensitive to ...
Arnold J den Dekker +2 more
exaly +1 more source
Purpose To evaluate the clinical utility of diffusion kurtosis tensor imaging in the characterization of cerebral glioma and investigate correlations between diffusion and kurtosis metrics with tumor cellularity.
Song Yang, Tao Jiang, Zhenlan Li
exaly +2 more sources
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Diffusion Kurtosis Imaging in the Assessment of Cervical Carcinoma
Academic Radiology, 2020Ka Yu Tse +2 more
exaly
Diffusion kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury
NeuroImage, 2012Gary Fiskum +2 more
exaly
A longitudinal evaluation of diffusion kurtosis imaging in patients with mild traumatic brain injury
Brain Injury, 2015Jiachen Zhuo +2 more
exaly

