TODO.
Project description
BrainLes-Preprocessing
BrainLes preprocessing is a comprehensive tool for preprocessing tasks in biomedical imaging, with a focus on (but not limited to) multi-modal brain MRI. It can be used to build to build modular preprocessing pipelines:
This includes normalization, co-registration, atlas registration and skulstripping / brain extraction.
BrainLes is written backend-agnostic meaning it allows to swap the registration and brain extration tools.
Installation
With a Python 3.10+ environment you can install directly from pypi.org:
pip install brainles-preprocessing
Usage
Please have a look at our Jupyter Notebook tutorials illustrating the usage of BrainLes preprocessing.
FAQ
Please credit the authors by citing their work.
Atlas Reference
We provide the SRI-24 atlas from this publication. However, custom atlases can be supplied.
Brain extraction
We currently provide support for HD-BET.
Registration
We currently provide support for niftyreg.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file brainles_preprocessing-0.0.26-py3-none-any.whl.
File metadata
- Download URL: brainles_preprocessing-0.0.26-py3-none-any.whl
- Upload date:
- Size: 19.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bbde6c051c2283a815d48faaacb4949ed345488e781949a7ae0c0ac3805d0225 |
|
| MD5 | 0f8516e3feda1f2c4b588583cddca4e6 |
|
| BLAKE2b-256 | 6f8b3925fa02d75cd7de97f7e6d3c25114412aa1270722f8626fd1f3eb7666d9 |
