Glossary.md

@@ -6,8 +6,8 @@ This page tries to explain some may be uncommon terms related to this project.
 Voxel and Cell
 --------------
 
--   Voxel - The center point of the volume region where the data was measured (averaged). Sometimes also the region itself. The positions in the grids are the voxels.
--   Cell - In a 3D regular grid the volume enclosed by eight neigboring voxels forming a cube.
+-   **Voxel** - The center point of the volume region where the data was measured (averaged). Sometimes also the region itself. The positions in the grids are the voxels.
+-   **Cell** - In a 3D regular grid the volume enclosed by eight neigboring voxels forming a cube.
 
 Partial Volume Effect
 ---------------------
@@ -19,10 +19,11 @@ The partial volume effect occurs when a single voxel contains a mixture of multi
 Medical Abbreviations
 ---------------------
 
-For an overview on brain anatomy, you should have a look at http://www.healcentral.org/content/6831/Anatomy%20of%20Brain.ppt
 
+|          |                                               |
+|----------|-----------------------------------------------|
 | LCS, CSF | Liquor cerebrospinalis or Cerebrospinal fluid |
-| WM | White Matter |
+| WM       | White Matter                                  |
 | GM | Gray Matter |
 | MRI | Magnetic Resonance Imaging |
 | dwMRI, dMRI | Diffussion weighted MRI |
@@ -44,11 +45,11 @@ For an overview on brain anatomy, you should have a look at http://www.healcentr
 Diffusion Tensor
 ----------------
 
-A second order Diffusion Tensor in three dimensions is a essentially a 3x3 matrix *attempting to model* the diffusion process:
+A second order diffusion tensor in three dimensions is essentially a 3x3 matrix *attempting to model* the diffusion process:
 
-$$ \\underline{D}=\\left(\\begin{smallmatrix}D\_{xx} & D\_{xy} & D\_{xz}\\\\D\_{yx} & D\_{yy} & D\_{yz}\\\\D\_{zx} & D\_{zy} & D\_{zz}\\end{smallmatrix}\\right) $$
+$` \underline{D}=\left(\begin{matrix}D_{xx} & D_{xy} & D_{xz}\\D_{yx} & D_{yy} & D_{yz}\\D_{zx} & D_{zy} & D_{zz}\end{matrix}\right) `$
 
-based on this matrix there are multiple [diffusion indices](DiffusionIndices) defined. They may or may not exist also for higher order tensors (FA versus GFA). A *symmetric tensor* of order `k` and dimension `d` has {{latex(${d+k-1}\\choose{k})}} different independent components. The following lists some numbers for d=3:
+based on this matrix there are multiple [diffusion indices](DiffusionIndices) defined. They may or may not exist also for higher order tensors (FA versus GFA). A *symmetric tensor* of order $`k`$ and dimension $`d`$ has $`{d+k-1}\choose{k}`$ different independent components. The following lists some numbers for $`d=3`$:
 
 |       |               |                           |                    |                        |
 |-------|---------------|---------------------------|--------------------|------------------------|
@@ -62,6 +63,6 @@ based on this matrix there are multiple [diffusion indices](DiffusionIndices) de
 | 6     | 729           | 28                        | 49                 | 28                     |
 | 7     | 2187          | 36                        | 64                 | 36                     |
 | 8     | 6561          | 45                        | 81                 | 45                     |
-| k     |               |                           | $(k+1)^2$          | (k+1)(k+2)/2           |
+| k     |               |                           | $`(k+1)^2`$          | $`(k+1)(k+2)/2`$           |