Enum: DefacingMethodEnum
Approaches to pixel-level de-identification that remove or obscure facial features in head imaging. Skull-stripping removes all non-brain tissue and may discard useful anatomy; face-specific methods aim to remove only facial features while preserving as much of the head volume as possible.
URI: valuesets:DefacingMethodEnum
Permissible Values
| Value | Title | Meaning | Description | Applicable To | Example Tools | Preserves Skull |
|---|---|---|---|---|---|---|
| SKULL_STRIPPING | Skull stripping | Removal of all non-brain tissue including scalp, skull and face, for example with FSL BET or AFNI 3dSkullStrip | false | |||
| TEMPLATE_BASED_MASKING | Template-based masking | Registration of the image to a standard brain template such as MNI152 followed by application of a predefined binary face mask that zeros out facial voxels | PyDeface, FreeSurfer mri_deface, mydeface | true | ||
| SURFACE_BLURRING | Surface blurring | Diffusion or blurring of face surface voxels to obscure identity while preserving head shape, as in Milchenko and Marcus (2013) | true | |||
| SHEARING_PLANE | Shearing plane | Removal of the front of the head by computing a plane through the head and discarding voxels in front of it, as in QuickShear | partial | |||
| DEEP_LEARNING_SEGMENTATION | Deep learning segmentation | Use of a trained neural network such as a 3D U-Net to segment facial features (eyes, ears, nose) and mask or blur them | DeepDefacer, Asan Defacer | true | ||
| REFACING | Refacing | Replacement of the subject's face with an average or synthetic face so that images retain a realistic head surface | AFNI refacer | true | ||
| MANUAL_MASKING | Manual masking | Interactive painting or erosion of a face mask in an image editor such as 3D Slicer or ITK-SNAP, followed by zeroing or blurring of masked voxels | true | |||
| FACE_DETECTION_AND_BLURRING | Face detection and blurring | Frame-by-frame detection of faces in 2D images or video followed by blurring, pixelation or masking, for example with OpenCV Haar cascades | photographs, video | |||
| MANUAL_CROP_OR_BLUR | Manual crop or blur | Manual cropping or blurring of the face region in photographs or video with an image or video editor | photographs, video |
Slots
| Name | Description |
|---|---|
| defacing_method | The method used to remove facial features from image pixel data |
Identifier and Mapping Information
Schema Source
- from schema: https://w3id.org/valuesets
LinkML Source
name: DefacingMethodEnum
instantiates:
- valuesets_meta:ValueSetEnumDefinition
description: Approaches to pixel-level de-identification that remove or obscure facial
features in head imaging. Skull-stripping removes all non-brain tissue and may discard
useful anatomy; face-specific methods aim to remove only facial features while preserving
as much of the head volume as possible.
title: Defacing Method
from_schema: https://w3id.org/valuesets
contributors:
- orcid:0000-0002-6601-2165
- https://github.com/anthropics/claude-code
status: DRAFT
rank: 1000
permissible_values:
SKULL_STRIPPING:
text: SKULL_STRIPPING
description: Removal of all non-brain tissue including scalp, skull and face,
for example with FSL BET or AFNI 3dSkullStrip
annotations:
preserves_skull:
tag: preserves_skull
value: 'false'
title: Skull stripping
aliases:
- brain extraction
TEMPLATE_BASED_MASKING:
text: TEMPLATE_BASED_MASKING
description: Registration of the image to a standard brain template such as MNI152
followed by application of a predefined binary face mask that zeros out facial
voxels
annotations:
preserves_skull:
tag: preserves_skull
value: 'true'
example_tools:
tag: example_tools
value: PyDeface, FreeSurfer mri_deface, mydeface
title: Template-based masking
SURFACE_BLURRING:
text: SURFACE_BLURRING
description: Diffusion or blurring of face surface voxels to obscure identity
while preserving head shape, as in Milchenko and Marcus (2013)
annotations:
preserves_skull:
tag: preserves_skull
value: 'true'
title: Surface blurring
SHEARING_PLANE:
text: SHEARING_PLANE
description: Removal of the front of the head by computing a plane through the
head and discarding voxels in front of it, as in QuickShear
annotations:
preserves_skull:
tag: preserves_skull
value: partial
title: Shearing plane
aliases:
- cropping plane
DEEP_LEARNING_SEGMENTATION:
text: DEEP_LEARNING_SEGMENTATION
description: Use of a trained neural network such as a 3D U-Net to segment facial
features (eyes, ears, nose) and mask or blur them
annotations:
preserves_skull:
tag: preserves_skull
value: 'true'
example_tools:
tag: example_tools
value: DeepDefacer, Asan Defacer
title: Deep learning segmentation
REFACING:
text: REFACING
description: Replacement of the subject's face with an average or synthetic face
so that images retain a realistic head surface
annotations:
preserves_skull:
tag: preserves_skull
value: 'true'
example_tools:
tag: example_tools
value: AFNI refacer
title: Refacing
MANUAL_MASKING:
text: MANUAL_MASKING
description: Interactive painting or erosion of a face mask in an image editor
such as 3D Slicer or ITK-SNAP, followed by zeroing or blurring of masked voxels
annotations:
preserves_skull:
tag: preserves_skull
value: 'true'
title: Manual masking
FACE_DETECTION_AND_BLURRING:
text: FACE_DETECTION_AND_BLURRING
description: Frame-by-frame detection of faces in 2D images or video followed
by blurring, pixelation or masking, for example with OpenCV Haar cascades
annotations:
applicable_to:
tag: applicable_to
value: photographs, video
title: Face detection and blurring
MANUAL_CROP_OR_BLUR:
text: MANUAL_CROP_OR_BLUR
description: Manual cropping or blurring of the face region in photographs or
video with an image or video editor
annotations:
applicable_to:
tag: applicable_to
value: photographs, video
title: Manual crop or blur