@@ -135,7 +135,13 @@ on the cortical surfaces and in the cortical and non-cortical volumes
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docker run --rm -ti -v $HOST:$DOCK --entrypoint /bin/bash nipy/mindboggle
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- 2. `FreeSurfer <http://surfer.nmr.mgh.harvard.edu >`_ generates labeled
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+ 2. Recommended: reset environment variables as above within the Docker container::
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+ DOCK=/home/jovyan/work # path to HOST from Docker container
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+ IMAGE=$DOCK/example_mri_data/T1.nii.gz # input image on HOST
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+ ID=arno # ID for brain image
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+
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+ 3. `FreeSurfer <http://surfer.nmr.mgh.harvard.edu >`_ generates labeled
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cortical surfaces, and labeled cortical and noncortical volumes.
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Run ``recon-all `` on a T1-weighted IMAGE file (and optionally a T2-weighted
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image), and set the output ID name as well as the $FREESURFER_OUT output
@@ -145,7 +151,7 @@ directory::
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recon-all -all -i $IMAGE -s $ID -sd $FREESURFER_OUT
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- 3 . `ANTs <http://stnava.github.io/ANTs/ >`_ provides brain volume extraction,
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+ 4 . `ANTs <http://stnava.github.io/ANTs/ >`_ provides brain volume extraction,
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segmentation, and registration-based labeling. ``antsCorticalThickness.sh ``
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generates transforms and segmentation files used by Mindboggle, and is run
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on the same IMAGE file and ID as above, with $ANTS_OUT output directory.
@@ -163,7 +169,7 @@ already installed in the Docker container ("\\" splits the command for readabili
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-p $TEMPLATE/Priors2/priors%d.nii.gz \
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-u 0
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- 4 . **Mindboggle ** can be run on data preprocessed by ``recon-all `` and
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+ 5 . **Mindboggle ** can be run on data preprocessed by ``recon-all `` and
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``antsCorticalThickness.sh `` as above by setting::
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FREESURFER_SUBJECT=$FREESURFER_OUT/$ID
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