DTI-TK
Diffusion Tensor Imaging ToolKit
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Documentation.Computation History
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(:noleft:) (:notitle:)(:title Computing Diffusion Tensor Derived Indices:)
! Computing Diffusion Tensor Derived Indices
Each diffusion tensor captures properties of local tissue microstructure. To reveal these properties, it is customary to derive a set of scalar indices. This tutorial describes how such indices can be computed in DTI-TK. The main tools are [[Documentation.TVtool|TVTool]]. to:
(:noleft:) (:notitle:)(:title Computing Rotation-Invariant Scalar Indices:)
! Computing Rotation-Invariant Scalar Indices
Each diffusion tensor captures properties of local tissue microstructure. To reveal these properties, it is customary to derive a set of scalar indices. DTI-TK supports the computation of these indices from DTI volumes. The main tool is [[Documentation.TVtool|TVTool]]. The associated documentation explains how the common indices can be computed.
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The number of dimensions of a DTI image may sometimes require to be reduced for statistical analyses or visual inspection purposes. Creating 1- scalar or 2-higher-order images, (such as 1- fractional anisotropy, trace or axial diffusivity or 2- principal component direction images can be achieved using [[Documentation.TVtool|TVTool]].
to:
Each diffusion tensor captures properties of local tissue microstructure. To reveal these properties, it is customary to derive a set of scalar indices. This tutorial describes how such indices can be computed in DTI-TK. The main tools are [[Documentation.TVtool|TVTool]].
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(:noleft:) (:notitle:)(:title Computing diffusion densor Derived values:)
! Computing diffusion densor Derived values
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(:noleft:) (:notitle:)(:title Computing Diffusion Tensor Derived Indices:)
! Computing Diffusion Tensor Derived Indices
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(:noleft:) (:notitle:)(:title Computing diffusion densor Derived values:)
! Computing diffusion densor Derived values
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The number of dimensions of a DTI image may sometimes require to be reduced for statistical analyses or visual inspection purposes. Creating 1- scalar or 2-higher-order images, (such as 1- fractional anisotropy, trace or axial diffusivity or 2- principal component direction images can be achieved using [[Documentation.TVtool|TVTool]].
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