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0
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1 <tool id="create_streamlines" name="Create streamlines" version="0.13.0">
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2 <description>within brain images</description>
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3 <requirements>
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4 <requirement type="package" version="0.13.0">dipy</requirement>
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5 </requirements>
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6 <command detect_errors="exit_code"><![CDATA[
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7 python '$__tool_directory__/create_streamlines.py'
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8 --input $input
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9 --input_extra_files_path '$input.extra_files_path'
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10 --output_trackvis_header '$output_trackvis_header'
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11 --output_superiorfrontal_nifti '$output_superiorfrontal_nifti'
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12 --output_superiorfrontal_nifti_files_path '$output_superiorfrontal_nifti.files_path'
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13 &>/dev/null
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14 ]]></command>
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15 <inputs>
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16 <param name="input" type="data" format="nifti1" label="dRMI dataset and label map"/>
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17 </inputs>
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18 <outputs>
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19 <data name="output_superiorfrontal_nifti" format="nifti1" label="${tool.name}: Superiorfrontal" />
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20 <data name="output_trackvis_header" format="trackvis" label="${tool.name}: Superiorfrontal Track Visualization Header" />
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21 </outputs>
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22 <tests>
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23 <test>
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24 </test>
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25 </tests>
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26 <help>
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27 **What it does**
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28
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29 Uses the target function to target streamlines that either pass through or do
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30 not pass through some region of the brain, the connectivity_matrix groups function
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31 to count streamlines based on where in the brain they begin and end and the density
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32 map function to count the number of streamlines that pass though every voxel of some image.
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33
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34 -----
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35
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36 **Options**
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37
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38 </help>
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39 <citations>
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40 </citations>
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41 </tool>
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