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Computing Anisotropy

You can compute the degree of anisotropy, which is a measure of how highly oriented substructures are within a volume, for any selected region of interest. Results, which can be computed using the mean intercept length (MIL) or star volume distribution (SVD) method, appear in a message box after the computation is complete, as shown below.

Anisotropy computation

For an isotropic (perfectly oriented) system, the degree of anisotropy (DA) is equal to 0. As the system becomes more anisotropic (less well-oriented), the DA increases to some value less than 1.

The settings for computing the degree of anisotropy, for example of segmented trabecular bone, are available in the Set Anisotropy Parameters dialog, shown below.

Set Anisotropy Parameters dialog

Refer to the table below for a description of the settings applicable to anisotropy computations.

Settings for computing anisotropy

 

Description

Max iterations

Is the maximum number of random points in the sample that will be analyzed. Fitting will stop automatically after this number is completed or if the coefficient of variation (tolerance) is reached.

Sampling

Is the resolution, or distance between subsequent samples along each vector. You should note that the entered value can be equal to the voxel size of the input region of interest.

Orientations

Is the number of lines to analyze per sampling sphere.

Min iterations

Is the minimum number of random points in the sample that will be analyzed.

Radius

Is the radius of the sampling sphere, which determines the length of each sampling vector.

Tolerance

Is the coefficient of variation. Sampling new random points will continue until either a coefficient of variation equal to the tolerance is reached or the maximum number of iterations is completed.

 

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