Diffusion kurtosis imaging
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Diffusion kurtosis imaging (DKI) is an advanced neuroimaging modality which is an extension of diffusion tensor imaging by estimating the kurtosis (skewed distribution) of water diffusion based on a probability distribution function. It provides a high order diffusion of water distribution and analyses and also quantifies the diffusion restriction. The kurtosis is a general, dimensionless statistic for quantifying non-guassianity --gaussianity – that is, the difference from a normal/random distribution -– of any distribution. It may be used in the imaging of stroke4.
Clinical uses
- imaging of
strokecerebral ischaemia
-<p><strong>Diffusion kurtosis imaging (DKI) </strong>is an advanced neuroimaging modality which is an extension of diffusion tensor imaging by estimating the kurtosis (skewed distribution) of water diffusion based on a probability distribution function . It provides a high order diffusion of water distribution and analyses and also quantifies the diffusion restriction. The kurtosis is a general, dimensionless statistic for quantifying non-guassianity - that is, the difference from a normal/random distribution - of any distribution. It may be used in the imaging of stroke<sup>4</sup>. </p><h4>Clinical uses</h4><ul><li>imaging of stroke</li></ul>- +<p><strong>Diffusion kurtosis imaging (DKI) </strong>is an advanced neuroimaging modality which is an extension of diffusion tensor imaging by estimating the kurtosis (skewed distribution) of water diffusion based on a probability distribution function. It provides a high order diffusion of water distribution and analyses and also quantifies the diffusion restriction. The kurtosis is a general, dimensionless statistic for quantifying non-gaussianity – that is, the difference from a normal/random distribution – of any distribution. It may be used in the imaging of stroke<sup>4</sup>. </p><h4>Clinical uses</h4><ul><li>imaging of <a title="Cerebral infarction" href="/articles/ischaemic-stroke">cerebral ischaemia</a>
- +</li></ul>
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