Mercurial > repos > greg > diffusion_signal_reconstruction
comparison diffusion_signal_reconstruction.xml @ 0:fe569aad237c draft
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author | greg |
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date | Sun, 05 Nov 2017 09:30:58 -0500 |
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children | 4bbb58b9d263 |
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1 <tool id="diffusion_signal_reconstruction" name="Reconstruct diffusion signal" version="0.13.0"> | |
2 <description>with Tensor model</description> | |
3 <requirements> | |
4 <requirement type="package" version="0.13.0">dipy</requirement> | |
5 </requirements> | |
6 <command detect_errors="exit_code"><![CDATA[ | |
7 python '$__tool_directory__/diffusion_signal_reconstruction.py' | |
8 --drmi_dataset $drmi_dataset | |
9 --output_nifti1_evecs '$output_nifti1_evecs' | |
10 --output_nifti1_fa '$output_nifti1_fa' | |
11 --output_nifti1_md '$output_nifti1_md' | |
12 --output_nifti1_rgb '$output_nifti1_rgb' | |
13 --output_png_ellipsoids '$output_png_ellipsoids' | |
14 --output_png_middle_axial_slice '$output_png_middle_axial_slice' | |
15 --output_png_odfs '$output_png_odfs' | |
16 ]]></command> | |
17 <inputs> | |
18 <param name="drmi_dataset" type="select" label="dRMI dataset"> | |
19 <option value="stanford_hardi" selected="true">stanford_hardi</option> | |
20 <option value="sherbrooke_3shell">sherbrooke_3shell</option> | |
21 </param> | |
22 </inputs> | |
23 <outputs> | |
24 <data name="output_png_odfs" format="png" label="${tool.name}: orientation distribution functions" /> | |
25 <data name="output_png_ellipsoids" format="png" label="${tool.name}: colored ellipsoids" /> | |
26 <data name="output_png_middle_axial_slice" format="png" label="${tool.name}: middle axial slice without (left) and with (right) diffusion weighting" /> | |
27 <data name="output_nifti1_fa" format="nifti1" label="${tool.name}: fractional anisotropye" /> | |
28 <data name="output_nifti1_evecs" format="nifti1" label="${tool.name}: eigen vectorse" /> | |
29 <data name="output_nifti1_evecs" format="nifti1" label="${tool.name}: mean diffusivitye" /> | |
30 <data name="output_nifti1_rgb" format="nifti1" label="${tool.name}: RGB-mape" /> | |
31 </outputs> | |
32 <tests> | |
33 <test> | |
34 </test> | |
35 </tests> | |
36 <help> | |
37 **What it does** | |
38 | |
39 The diffusion tensor model is a model that describes the diffusion within a voxel. It demonstrates | |
40 the utility of diffusion MRI in characterizing the micro-structure of white matter tissue and of the | |
41 biophysical properties of tissue, inferred from local diffusion properties. | |
42 ----- | |
43 | |
44 **Options** | |
45 | |
46 </help> | |
47 <citations> | |
48 </citations> | |
49 </tool> |