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Automated 3D brain registration

Project description

Python Version PyPI Wheel Development Status Tests Coverage Status Code style: black

brainreg

brainreg is an update to amap (itself a port of the original Java software) to include multiple registration backends, and to support the many atlases provided by bg-atlasapi.

Documentation can be found here and a tutorial is here. For segmentation of bulk structures in 3D space (e.g. injection sites, Neuropixels probes), please see brainreg-segment.

N.B. There is also a napari plugin if you'd rather use brainreg with a graphical user interface. Currently this interface is slightly limited compared to the command line tool

This software is at a very early stage, and was written with our data in mind. Over time we hope to support other data types/formats. If you have any issues, please get in touch on the forum or by raising an issue.

If you have any other questions, please send an email.

Details

The aim of brainreg is to register the template brain (e.g. from the Allen Reference Atlas) to the sample image. Once this is complete, any other image in the template space can be aligned with the sample (such as region annotations, for segmentation of the sample image). The template to sample transformation can also be inverted, allowing sample images to be aligned in a common coordinate space.

To do this, the template and sample images are filtered, and then registered in a three step process (reorientation, affine registration, and freeform registration.) The resulting transform from template to standard space is then applied to the atlas.

Full details of the process are in the original aMAP paper. reg_process

Overview of the registration process

Installation

pip install brainreg

Usage

Basic usage

brainreg /path/to/raw/data /path/to/output/directory -v 5 2 2 --orientation psl

Arguments

Mandatory

  • Path to the directory of the images. (Can also be a text file pointing to the files)
  • Output directory for all intermediate and final results

You must also specify the voxel sizes, see Specifying voxel size

Additional options

  • -d or --downsample Paths to N additional channels to downsample to the same coordinate space.
  • --sort-input-file If set to true, the input text file will be sorted using natural sorting. This means that the file paths will be sorted as would be expected by a human and not purely alphabetically

Misc options

  • --n-free-cpus The number of CPU cores on the machine to leave unused by the program to spare resources.
  • --debug Debug mode. Will increase verbosity of logging and save all intermediate files for diagnosis of software issues.
  • --save-original-orientation Option to save the registered atlas with the same orientation as the input data.

Atlas

By default, brainreg will use the 25um version of the Allen Mouse Brain Atlas. To use another atlas (e.g. for another species, or another resolution), you must use the --atlas flag, followed by the string describing the atlas, e.g.:

--atlas allen_mouse_50um

To find out which atlases are available, once brainreg is installed, please run brainglobe list. The name of the resulting atlases is the string to pass with the --atlas flag.

Registration backend

To change the registration algorithm used, use the --backend flag. The default is niftyreg as that is currently the only option.

Input data orientation

If your data does not match the brainglobe default orientation (the origin voxel is the most anterior, superior, left-most voxel, then you must specify the orientation by using the --orientation flag. What follows must be a string in the bg-space "initials" form, to describe the origin voxel.

If the origin of your data (first, top left voxel) is the most anterior, superior, left part of the brain, then the orientation string would be "asl" (anterior, superior, left), and you would use:

--orientation asl

Registration options

To change how the actual registration performs, see Registration parameters

Full command-line arguments are available with brainreg -h, but please get in touch if you have any questions.

Visualisation

brainreg comes with a plugin (brainglobe-napari-io) for napari to view your data

Sample space

Open napari and drag your brainreg output directory (the one with the log file) onto the napari window.

Various images should then open, including:

  • Registered image - the image used for registration, downsampled to atlas resolution
  • atlas_name - e.g. allen_mouse_25um the atlas labels, warped to your sample brain
  • Boundaries - the boundaries of the atlas regions

If you downsampled additional channels, these will also be loaded.

Most of these images will not be visible by default. Click the little eye icon to toggle visibility.

N.B. If you use a high resolution atlas (such as allen_mouse_10um), then the files can take a little while to load.

sample_space

Atlas space

napari-brainreg also comes with an additional plugin, for visualising your data in atlas space.

This is typically only used in other software, but you can enable it yourself:

  • Open napari
  • Navigate to Plugins -> Plugin Call Order
  • In the Plugin Sorter window, select napari_get_reader from the select hook... dropdown box
  • Drag brainreg_standard (the atlas space viewer plugin) above brainreg (the normal plugin) to ensure that the atlas space plugin is used preferentially.

Citing brainreg

If you find brainreg useful, and use it in your research, please let us know and also cite the preprint:

Tyson, A. L., Vélez-Fort, M., Rousseau, C. V., Cossell, L., Tsitoura, C., Obenhaus, H. A., Claudi, F., Lenzi, S. C., Branco, T., Margrie, T. W. (2021) “Tools for accurate post hoc determination of marker location within whole-brain microscopy images’ bioRxiv, doi.org/10.1101/2021.05.21.445133

Please also cite aMAP (the original pipeline from which this software is based):

Niedworok, C.J., Brown, A.P.Y., Jorge Cardoso, M., Osten, P., Ourselin, S., Modat, M. and Margrie, T.W., (2016). AMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Nature Communications. 7, 1–9. https://doi.org/10.1038/ncomms11879

Lastly, if you can, please cite the BrainGlobe Atlas API that provided the atlas:

Claudi, F., Petrucco, L., Tyson, A. L., Branco, T., Margrie, T. W. and Portugues, R. (2020). BrainGlobe Atlas API: a common interface for neuroanatomical atlases. Journal of Open Source Software, 5(54), 2668, https://doi.org/10.21105/joss.02668

Don't forget to cite the developers of the atlas that you used (e.g. the Allen Brain Atlas)!


The BrainGlobe project is generously supported by the Sainsbury Wellcome Centre and the Institute of Neuroscience, Technical University of Munich, with funding from Wellcome, the Gatsby Charitable Foundation and the Munich Cluster for Systems Neurology - Synergy.

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