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title: Running CIVET on ChRIS at FNNDSC | ||
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# Running CIVET on _ChRIS_ at FNNDSC | ||
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_CIVET_ is a T1 MRI processing pipeline (similar to FreeSurfer) developed at the Montréal Neurological Institute (MNI). This tutorial is a beginner-level walk-through of how to run _CIVET_ on _ChRIS_ at the FNNDSC. | ||
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### 1. Log in to _ChRIS_ | ||
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Go to **http://chris-next.tch.harvard.edu:2222/login** and log in using your FNNDSC account username and password. | ||
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### 2. Create a feed | ||
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Data are uploaded into _ChRIS_ in _feeds._ | ||
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1. Click **"Create Feed"** in the top-right corner. | ||
2. Choose the **"Generate Data"** option. | ||
3. Select the `pl-neurofiles-pull` plugin, which pulls data from `/neuro/labs/grantlab/research` into _ChRIS_. | ||
4. Specify which path to pull as the `--path` parameter. | ||
5. Keep clicking "Next" until the feed is created. | ||
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![Screenshot of creating a feed in _ChRIS_](./select_data.png) | ||
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The path you choose _must_ be a directory containing exactly one _NIFTI_ file called `*_T1w.nii`. | ||
Any unrelated files (such as `*.json`, `*._T2w.nii`) will also be uploaded to _ChRIS_ but ignored by the pipeline. | ||
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### 3. Run the pipeline | ||
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Click into the feed you just created, and right-click the only circle in the top-left quadrant. Select **"Add a pipeline."** | ||
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![Screenshot of feed view](./add_pipeline.png) | ||
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Search for the "CIVET" pipeline and select it. | ||
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::::danger | ||
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Carefully review the pipeline's options before you run it. Make sure that each step of the pipeline is configured to run on **"galena,"** our private compute cluster. You may also choose "NERC," a public cloud, as long as your data does not contain PHI. | ||
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:::: | ||
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![Screenshot of pipeline configuration](./select_pipeline.png) | ||
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Once the pipeline is running, you can see each of its steps and their statuses. You can see that the pipeline selects the `*_T1w.nii` file, renames it to `*_t1.nii`, then converts it to MINC. | ||
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![Screenshot of the pipeline as its running](./running.png) | ||
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### 4. Wait a couple hours | ||
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CIVET takes 4-8 hours to run to completion. | ||
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## Next Steps | ||
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You now know how to run _CIVET_ using the _ChRIS_ user interface. | ||
Next steps might include visualization and downstream analyses of _CIVET_ | ||
outputs, or scaling up to run this pipeline on multiple subjects. |
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