1. Input image

Choose one NIfTI image or a folder containing a DICOM series. Files stay in this browser.

You can also drop either format onto the viewer.

2. Processing

Fast affine registration that removes facial voxels. This is the recommended starting point.

3. Output

Review the result in the viewer before downloading the defaced NIfTI image.

deface

Remove facial features from a brain MRI for anonymization — entirely in your browser. No data is sent to any server.

Defacing runs niimath, which registers a bundled MNI template (affine, BSD) and zeros the face voxels:

Visualization uses NiiVue; DICOM import uses dcm2niix.

Defacing uses the BSD-2 build of niimath (@niivue/niimath), so this app is licensed BSD-2-Clause · thread-deterministic registration, fails closed on out-of-memory. Requires a browser with WebGPU (recent desktop Chrome, Edge, or Safari).

MindGrab needs WebGPU

The mindgrab brain-extraction method runs a neural network on the GPU and needs WebGPU with the shader-f16 feature (recent desktop Chrome, Edge, or Safari). This browser doesn't provide it.

Use an allineate method instead — they run in WebAssembly and need no WebGPU.