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Commit 5ce9bc88 authored by Saad Jbabdi's avatar Saad Jbabdi
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add description for mode

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...@@ -35,7 +35,7 @@ the brain.</li> ...@@ -35,7 +35,7 @@ the brain.</li>
outputs of <b>dtifit</b>. If the directory input option is used then the basename outputs of <b>dtifit</b>. If the directory input option is used then the basename
will be dti</li> will be dti</li>
<li><b>Gradient directions</b> (bvecs): A text file containing a list <li><b>Gradient directions</b> (bvecs): An ASCII text file containing a list
of gradient directions applied during diffusion weighted volumes. The of gradient directions applied during diffusion weighted volumes. The
order of entries in this file must match the order of volumes in the order of entries in this file must match the order of volumes in the
input data series. input data series.
...@@ -50,7 +50,7 @@ Vectors are normalised to unit length within the <b>dtifit</b> code. For volumes ...@@ -50,7 +50,7 @@ Vectors are normalised to unit length within the <b>dtifit</b> code. For volumes
diffusion weighting, the entry should still be present, although the diffusion weighting, the entry should still be present, although the
direction of the vector does not matter! </li> direction of the vector does not matter! </li>
<li><b>b values</b> (bvals): A text file containing a list of b values applied during <li><b>b values</b> (bvals): An ASCII text file containing a list of b values applied during
each volume acquisition. The order of entries in this file must match the each volume acquisition. The order of entries in this file must match the
order of volumes in the input data and entries in the gradient directions text order of volumes in the input data and entries in the gradient directions text
file. file.
...@@ -71,6 +71,7 @@ b_1 b_2 b_3 ... b_n<br></pre> ...@@ -71,6 +71,7 @@ b_1 b_2 b_3 ... b_n<br></pre>
<li><b>&lt;basename&gt;_L3</b> - 3rd eigenvalue</li> <li><b>&lt;basename&gt;_L3</b> - 3rd eigenvalue</li>
<li><b>&lt;basename&gt;_MD</b> - mean diffusivity</li> <li><b>&lt;basename&gt;_MD</b> - mean diffusivity</li>
<li><b>&lt;basename&gt;_FA</b> - fractional anisotropy</li> <li><b>&lt;basename&gt;_FA</b> - fractional anisotropy</li>
<li><b>&lt;basename&gt;_MO</b> - mode of the anisotropy (oblate ~ -1; isotropic ~ 0; prolate ~ 1)</li>
<li><b>&lt;basename&gt;_S0</b> - raw T2 signal with no diffusion weighting</li> <li><b>&lt;basename&gt;_S0</b> - raw T2 signal with no diffusion weighting</li>
</ul> </ul>
<TABLE WIDTH=100% BORDER=0 CELLPADDING=0 CELLSPACING=0> <TABLE WIDTH=100% BORDER=0 CELLPADDING=0 CELLSPACING=0>
...@@ -123,7 +124,10 @@ Compulsory arguments (You MUST set one or more of): ...@@ -123,7 +124,10 @@ Compulsory arguments (You MUST set one or more of):
Optional arguments (You may optionally specify one or more of): Optional arguments (You may optionally specify one or more of):
-V,--verbose switch on diagnostic messages -V,--verbose switch on diagnostic messages
-h,--help display this message -h,--help display this message
--cni Input counfound regressors
--sse Output sum of squared errors
--littlebit Only process small area of brain --littlebit Only process small area of brain
--save_tensor Save the elements of the tensor
-z,--zmin min z -z,--zmin min z
-Z,--zmax max z -Z,--zmax max z
-y,--ymin min y -y,--ymin min y
......
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