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1 <tool id="linear_fascile_evaluation" name="Linear fascicle evaluation" version="0.13.0">
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2 <description>(LiFE) for tractography results</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 '$__tool_directory__/linear_fascile_evaluation.py'
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8 --input_nifti1 '$input_nifti1'
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9 --input_nifti1_files_path '$input_nifti1.extra_files_path'
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10 --input_nifti2 '$input_nifti2'
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11 --input_nifti2_files_path '$input_nifti2.extra_files_path'
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12 --input_trackvis '$input_trackvis'
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13 --output_life_candidates '$output_life_candidates'
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14 &>/dev/null
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15 ]]></command>
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16 <inputs>
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17 <param name="input_nifti1" format="nifti1" type="data" label="dRMI dataset"/>
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18 <param name="input_nifti2" format="nifti1" type="data" label="dRMI dataset and label map"/>
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19 <param name="input_trackvis" format="trackvis" type="data" label="Track Visualization Header"/>
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20 </inputs>
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21 <outputs>
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22 <data name="output_life_candidates" format="png" label="${tool.name}: LiFE Candidates" />
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23 </outputs>
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24 <tests>
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25 <test>
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26 </test>
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27 </tests>
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28 <help>
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29 **What it does**
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30
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31 Uses a forward model that predicts the signal from each of a set of streamlines, and fits a
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32 linear model to these simultaneous predictions for evaluation of tractography results.
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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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