Constrained maximum likelihood estimation of the diffusion kurtosis tensor using a Rician noise model

Volume: 66, Issue: 3, Pages: 678 - 686
Published: Mar 17, 2011
Abstract
A computational framework to obtain an accurate quantification of the Gaussian and non‐Gaussian component of water molecules' diffusion through brain tissues with diffusion kurtosis imaging, is presented. The diffusion kurtosis imaging model quantifies the kurtosis, the degree of non‐Gaussianity, on a direction dependent basis, constituting a higher order diffusion kurtosis tensor, which is estimated in addition to the well‐known diffusion...
Paper Details
Title
Constrained maximum likelihood estimation of the diffusion kurtosis tensor using a Rician noise model
Published Date
Mar 17, 2011
Volume
66
Issue
3
Pages
678 - 686
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