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## page was renamed from Automated Defacing Tools
## page was renamed from mri_deface
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Cite this paper is using mri_deface: [[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408762/|A Technique for the Deidentification of Structural Brain MR Images]]
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 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/mri_deface-v1.22-Linux64.gz|mri_deface v1.22 for Linux 64bit]]
 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/mri_deface-v1.22-Linux.gz|mri_deface v1.22 for Linux]]
 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/mri_deface-v1.22-MacOS-Leopard-intel.gz|mri_deface v1.22 for Mac OSX Leopard Intel]]

 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/mri_deface_linux|mri_deface v1.22 for Linux]]
 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/mri_deface_osx|mri_deface v1.22 for Mac OS]]
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 * [[https://surfer.nmr.mgh.harvard.edu/pub/dist/mri_deface/sample_T1_input.mgz|sample_T1_input.mgz]] - This is a sample input volume used in the example. Replace with your own input.
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gunzip mri_deface-v1.22-Linux64.gz
cp mri_deface-v1.22-Linux64.gz mri_deface
mv mri_deface_linux mri_deface
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Then, example usage, using the example input volume:
Then, example usage, substitute the name of your T1-weighted input file, which can be a dicom or nifti:
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./mri_deface sample_T1_input.mgz talairach_mixed_with_skull.gca face.gca sample_T1_input_defaced.mgz ./mri_deface T1.nii talairach_mixed_with_skull.gca face.gca T1_defaced.nii
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For your own data, substitute the name of your T1-weighted input file, which can be a dicom or nifti:
{{{
./mri_deface my_T1.nii talairach_mixed_with_skull.gca face.gca my_T1_defaced.nii
}}}
You will need a volume viewer to view the resulting defaced file. The freesurfer package includes the 'freeview' viewer, but there are many others capable of reading dicom and nifti volumes. [[http://www.mccauslandcenter.sc.edu/mricro/mricron/|MRIcron]] is a good option (use MRIcron, not MRIcro, because you will want nifti support).
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You will need a volume viewer to view the resulting defaced file. The freesurfer package includes the 'freeview' viewer, but there are many others capable of reading dicom and nifti volumes. Sample input before and after defacing:

{{attachment:sample_T1_input.jpg}}

{{attachment:sample_T1_input_defaced.jpg}}

Automated Defacing Tools

defacing_figure.jpg

See also MBIRN page

Cite this paper is using mri_deface: A Technique for the Deidentification of Structural Brain MR Images

Note: A license file is no longer necessary to use these tools:

Use gunzip to decompress these downloads, ie.:

mv mri_deface_linux mri_deface
chmod a+x mri_deface
gunzip talairach_mixed_with_skull.gca.gz
gunzip face.gca.gz

Then, example usage, substitute the name of your T1-weighted input file, which can be a dicom or nifti:

./mri_deface T1.nii talairach_mixed_with_skull.gca face.gca T1_defaced.nii

You will need a volume viewer to view the resulting defaced file. The freesurfer package includes the 'freeview' viewer, but there are many others capable of reading dicom and nifti volumes. MRIcron is a good option (use MRIcron, not MRIcro, because you will want nifti support).

Sample input before and after defacing:

sample_T1_input.jpg

sample_T1_input_defaced.jpg

AutomatedDefacingTools (last edited 2022-08-05 14:31:35 by DougGreve)