Supplementary material for the LINC diffusion MRI – X-ray paper.
This work is currently available on bioRXiv as a preprint:
| https://www.biorxiv.org/content/10.64898/2026.04.02.716198 |
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The data can be opened in the web browser from the LINC Gallery:
| https://gallery.lincbrain.org/mri-xray |
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This work has required the use of a few Python tools:
| Repository | Usecase |
|---|---|
stack-to-chunk |
Conversion of a series of 2D images to a 3D volume stored as an OME-Zarr |
ngregister |
Register with an affine transform using a set of hotkeys within Neuroglancer (optimal for large multiscale datasets) |
segment_properties_for_neuroglancer |
Generate the segmentation properties for the Neuroglancer precomputed format to add metrics and a colormap to the segmentation layer |
freesurfer |
Suite of processing tools for 3D imaging data, initially focused on MRI and the NIfTI file format |
nitorch |
(Yet another) suite of processing tools for 3D imaging data, initially focused on MRI and the NIfTI file format |
ngtools |
Web browser-based data viewer with an extensive set of utilities |
tirl |
Registration library; cf. doi:10.1016/j.neuroimage.2022.119792. |