UpdateBot: Nightly -> 4.5

2015-11-12T21:54:41Z

Nightly -> 4.5

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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website]. 
Author: Demian Wassermann, SPL, LMI, PNL, Brigham and Women's Hospital, Harvard Medical School 
Contact: Demian Wassermann, <email>demian@bwh.harvard.edu</email> 
Contributor1: Raúl San José-Estepar 
Contributor2: Lauren O'Donnel 
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|Image:Logo-splnew.jpg|Surgical Planning Laboratory
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Most frequently used for these scenarios:

* Use Case 1:
* Use Case 2:


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*Trace: trace of the diffusion tensor (equal to the sum of its eigenvalues). Trace = 3 * MD, where MD is mean diffusivity.
*Determinant: determinant of diffusion tensor.
*RelativeAnisotropy: ratio of the anisotropic part of the diffusion tensor to the isotropic part (Basser, 1994)
*FractionalAnisotropy: the degree of anisotropy of diffusion (Between 0 and 1 where 0 = completely isotropic, 1 = completely anisotropic). This measure can be thought of as quantifying how far the shape of diffusion is from a sphere.
*Mode: Quantifies how linear or planar the diffusion is (cigar vs. pancake shape). FA and mode are orthogonal measures. (Ennis & Kindlmann, 2006).
*LinearMeasure: is high in "cigar-shape" tensors, where the first eigenvalue is much larger than the others (Westin, 2002).
*PlanarMeasure: is high in "pancake-shape" planar tensors, where the smallest eigenvalue is much less than the others (Westin, 2002).
*SphericalMeasure: is high where all three eigenvalues are equal, giving a "sphere-shape" of the tensor (Westin, 2002).
*MinEigenvalue: the smallest of the three eigenvalues of the diffusion tensor (also called lambda 3).
*MidEigenvalue: the second smallest eigenvalue of the diffusion tensor (also called lambda 2).
*MaxEigenvalue: the largest of the three eigenvalues of the diffusion tensor (also called lambda 1).
*MaxEigenvalueProjectionX: this is the max eigenvalue (lambda 1) times the x component of the major eigenvector.
*MaxEigenvalueProjectionY: this is the max eigenvalue (lambda 1) times the y component of the major eigenvector.
*MaxEigenvalueProjectionZ: this is the max eigenvalue (lambda 1) times the z component of the major eigenvector.
*RAIMaxEigenvecX: relative anisotropy times the x component of the major eigenvector.
*RAIMaxEigenvecY: relative anisotropy times the y component of the major eigenvector.
*RAIMaxEigenvecZ: relative anisotropy times the z component of the major eigenvector.
*D11: one of the values on the diagonal of the tensor: D11 is the upper left corner.
*D22: one of the values on the diagonal of the tensor: D22 is the middle.
*D33: one of the values on the diagonal of the tensor: D33 is the lower right corner.
*ParallelDiffusivity: this is equal to the first eigenvalue, lambda 1.
*PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3.


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Documentation/4.5/Modules/DiffusionTensorScalarMeasurements - Revision history

UpdateBot: Nightly -> 4.5