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## page was renamed from Automated Defacing Tools
## page was renamed from mri_deface
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See also [[http://www.na-mic.org/Wiki/index.php/Mbirn:_Defacer_for_structural_MRI|MBIRN page]]

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/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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Then, example usage, using your orig.mgz: Then, example usage, using the example input volume:
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mri_deface orig.mgz talairach_mixed_with_skull.gca face.gca orig_defaced.mgz ./mri_deface sample_T1_input.mgz talairach_mixed_with_skull.gca face.gca sample_T1_input_defaced.mgz
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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).

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.:

gunzip mri_deface-v1.22-Linux64.gz
cp mri_deface-v1.22-Linux64.gz mri_deface
chmod a+x mri_deface
gunzip talairach_mixed_with_skull.gca.gz
gunzip face.gca.gz

Then, example usage, using the example input volume:

./mri_deface sample_T1_input.mgz talairach_mixed_with_skull.gca face.gca sample_T1_input_defaced.mgz

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. 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)