Documentation/Nightly/Modules/DiffusionTensorScalarMeasurements - Revision history

Grundlett: Text replacement - "https?:\/\/(?:www|wiki)\.slicer\.org\/slicerWiki\/index\.php\/([^ ]+) " to "https://www.slicer.org/wiki/$1 "

2019-11-27T13:20:20Z

Text replacement - "https?:\/\/(?:www|wiki)\.slicer\.org\/slicerWiki\/index\.php\/([^ ]+) " to "https://www.slicer.org/wiki/$1 "

Lauren at 21:13, 15 September 2016

2016-09-15T21:13:12Z

Lauren at 21:18, 14 September 2016

2016-09-14T21:18:01Z

Lauren at 21:12, 14 September 2016

2016-09-14T21:12:05Z

Inorton at 13:59, 7 September 2016

2016-09-07T13:59:51Z

Lauren at 19:27, 29 June 2016

2016-06-29T19:27:30Z

Lauren at 19:22, 29 June 2016

2016-06-29T19:22:05Z

Lauren at 15:18, 29 June 2016

2016-06-29T15:18:58Z

Lauren at 15:10, 29 June 2016

2016-06-29T15:10:51Z

Lauren at 14:52, 29 June 2016

2016-06-29T14:52:31Z

@@ Line 38: / Line 38: @@
 {{documentation/{{documentation/version}}/module-section|Tutorials}}
 Links to tutorials that use this module
-* Slicer4 Diffusion Tensor Imaging Tutorial: https://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Training#Slicer4_Diffusion_Tensor_Imaging_Tutorial
+* Slicer4 Diffusion Tensor Imaging Tutorial: https://www.slicer.org/wiki/Documentation/Nightly/Training#Slicer4_Diffusion_Tensor_Imaging_Tutorial <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Panels and their use}}
 {{documentation/{{documentation/version}}/module-parametersdescription}}

@@ Line 55: / Line 55: @@
 *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).
-*ParallelDiffusivity: this is equal to the first (maximum) eigenvalue, and also known as lambda 1 and axial diffusivity (AD).  So this is equal to MaxEigenvalue, above.
+*ParallelDiffusivity: this is equal to the first (maximum) eigenvalue, and also known as lambda 1, axial diffusivity (AD), and longitudinal diffusion coefficient.  Note this is equal to MaxEigenvalue, above.
-*PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3. This is also known as radial diffusivity (RD).
+*PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3. This is also known as radial diffusivity (RD) and transverse diffusion coefficient.
-Please note that the large number of names for the maximum eigenvalue is due to historical reasons. The original mathematical names are maximum eigenvalue or lambda 1. The names parallel and axial diffusivity were introduced to help interpret the measure in terms of diffusivity along a hypothesized single fiber tract in the voxel.
+Please note that the large number of names for the maximum eigenvalue is due to historical reasons. The original mathematical names are maximum eigenvalue or lambda 1. The names parallel, axial, and longitudinal diffusivity were introduced to help interpret the measure in terms of diffusivity along a hypothesized single fiber tract in the voxel.
 <!-- ---------------------------- -->

@@ Line 57: / Line 57: @@
 *ParallelDiffusivity: this is equal to the first (maximum) eigenvalue, and also known as lambda 1 and axial diffusivity (AD).  So this is equal to MaxEigenvalue, above.
 *PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3. This is also known as radial diffusivity (RD).
 <!-- ---------------------------- -->

@@ Line 55: / Line 55: @@
 *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).
-*ParallelDiffusivity: this is equal to the first eigenvalue, lambda 1.
+*ParallelDiffusivity: this is equal to the first (maximum) eigenvalue, and also known as lambda 1 and axial diffusivity (AD).  So this is equal to MaxEigenvalue, above.
-*PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3.
+*PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3. This is also known as radial diffusivity (RD).
 <!-- ---------------------------- -->

@@ Line 65: / Line 65: @@
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|References}}
 *  http://slicerdmri.github.io/

@@ Line 69: / Line 69: @@
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Information for Developers}}
 * https://github.com/SlicerDMRI

@@ Line 9: / Line 9: @@
 {{documentation/{{documentation/version}}/module-introduction-row}}
-The SlicerDMRI developers gratefully acknowledge funding for this project provided by NIH NCI ITCR U01CA199459 (Open Source Diffusion MRI Technology For Brain Cancer Research), NIH P41EB015898 (National Center for Image-Guided Therapy) and NIH P41EB015902 (Neuroimaging Analysis Center), as well as 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.
+{{documentation/{{documentation/version}}/module-acknowledgements}}
 Contact:  <email>slicer-users@bwh.harvard.edu</email><br>
 Website: http://slicerdmri.github.io/
 {{documentation/{{documentation/version}}/module-introduction-row}}

@@ Line 18: / Line 18: @@
 {{documentation/{{documentation/version}}/module-introduction-row}}
 {{documentation/{{documentation/version}}/module-introduction-logo-gallery
-|Image::SlicerDMRIScreenshot.jpg|SlicerDMRI
+|Image:SlicerDMRIScreenshot.jpg|SlicerDMRI
 |Image:Logo-splnew.jpg|Surgical Planning Laboratory
 |Image:NAC-logo.png|NAC