Skip to main content

Download BrainWeb MRI data

Project description

Brainweb-DL

Welcome to Brainweb-DL, a powerful Python toolkit for downloading and converting the Brainweb dataset.

Features

  • Effortless Dataset Management: Automatically download, cache, and format the Brainweb dataset with ease. Convert it to the convenient nifti format or numpy array hassle-free.

  • Multiple Image Generation: Generate high-quality T1, T2, T2*, and PD images directly from the Brainweb dataset. Perfect for testing purposes, although keep in mind that the values provided are approximate.

Available data

The Brainweb project kindly provides:

  • A normal brain phantom (named subject 0 afterwards), with T1, T2 and PD contrasts, with a variety of noise levels and intensity non-uniformities. As well as a anatomical model (in the form of either crisp or fuzzy segmentation of brain tissues, at a fixed resolution of 181x217x181 images).
  • The same for a multiple sclerosis brain phantom (named subject 1 afterwards).
  • A set of 20 normal brains (with ids equal to [4, 5, 6, 18, 20, 38, 41-54]) , with a T1 contrast (with 1mm resolution at (181, 217,181)), as well as the crisp and fuzzy segmentation of brain tissues (with a shape of (362, 434,362)) [^1].

This project provides a CLI and a Python API to download and convert theses data. On top of that, it can generate new contrasts (e.g. T2*) from the segmentations, and reshape the data to the desired resolution [^2].

[^1]: Note that the classification of tissue is not the same as for subject 0 and 1 [^2]: This requires scipy to be installed.

Get Started

Data Location

The cached data directory follows this priority order:

  1. User-specific argument (brainweb_dir in most functions)
  2. BRAINWEB_DIR environment variable
  3. ~/.cache/brainweb folder

Python Script Usage

from brainweb_dl import get_mri 

# Get the phantom with id 44 with a T1 constrast 
data = get_mri(sub_id=44, contrast="T1") 
# Gt the 3rd phantomn with a fuzzy segmentation of its tissues. 
data = get_mri(sub_id="3", contrast="fuzzy") 

# Check the docstring for more information.

The Brainweb dataset is downloaded and cached by default in the ~/.cache/brainweb folder.

Command Line Interface

brainweb-dl 44 --contrast=T1

For more information, see brainweb-dl --help.

Installation

Get up and running quickly!

pip install brainweb-dl

Development

Join our community and contribute to Brainweb-DL!

git clone git@github.com/paquiteau/brainweb-dl 
cd brainweb-dl
pip install -e .[dev,test,doc]

TODO List

Help us improve and shape the future of Brainweb-DL:

  • Add unit tests.
  • Implement fuzzy search and multiple subjects download in parallel.
  • Develop an interface to generate T1, T2, T2*, and PD images.
  • Enhance the search for the location of the Brainweb dataset (User > Environment Variable > Default Location).
  • Introduce an interface to download as BIDS format.

Acknowledgement

We extend our gratitude to the following for their contributions:

  • Casper De Clercq for the preliminary work and original idea. Check out his great work if you are interested in PET imaging and registration functionalities.

  • BrainWeb for providing this valuable dataset to the community.

:star2: If you like this work, don't forget to star it and share it 🌟

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brainweb_dl-0.3.0.tar.gz (19.0 kB view details)

Uploaded Source

Built Distribution

brainweb_dl-0.3.0-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file brainweb_dl-0.3.0.tar.gz.

File metadata

  • Download URL: brainweb_dl-0.3.0.tar.gz
  • Upload date:
  • Size: 19.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for brainweb_dl-0.3.0.tar.gz
Algorithm Hash digest
SHA256 87d757c87b9b78d22aed3ced2e44f0a6896fa8ad6b533f4a6191ec1aa25ac3f5
MD5 52983f85f1a32be25b0f12ab95b3ed82
BLAKE2b-256 91d30e31076c492b1798c8420895118e1e65fabc1149726cdff435e77fb9650c

See more details on using hashes here.

File details

Details for the file brainweb_dl-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: brainweb_dl-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for brainweb_dl-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 24e8fcf60f6154708d3165559fc776e843a4050e25d6465b7251e6810846ca51
MD5 3cd6baadafe50b111baae0dc7fc4a982
BLAKE2b-256 584288452889466071179f3958b959c426213f0dd70de16e72c363d8581c51f6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page