intensity-normalization

(★ 340)

Normalize MR image intensities in Python

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Download Latest Version (.zip)

- - bug-report.md
  - config.yml
  - feature-request.md
- - docs.yml
  - publish.yml
  - tests.yml
- settings.json
- - intnorm_illustration.png
- - mathjax.js
- algorithms.md
- api.md
- cli.md
- how-to.md
- index.md
- methods.md
- migration.md
- quickstart.md
- - __init__.py
  - _ants.py
  - _image.py
  - errors.py
  - histogram.py
  - io.py
  - py.typed
- conftest.py
- phantoms.py
- test_cli.py
- test_individual.py
- test_laws.py
- test_metadata.py
- test_population.py
- test_ravel.py
- test_regressions.py
- test_tools.py
.gitignore
.mdwright.toml
AGENTS.md
CHANGELOG.md
CLAUDE.md
LICENSE
mkdocs.yml
pyproject.toml
README.md
uv.lock

# Installation Guide

1. Get the code

git clone https://github.com/jcreinhold/intensity-normalization

Downloads the entire project code from GitHub to your computer.

cd intensity-normalization

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended

Prerequisites

Python 3 Python is required to use pip.

pip install intensity-normalization # or: uv add intensity-normalization

Installs the package published on PyPI directly — no need to clone the source.

pip install "intensity-normalization[ants]" # ravel registration, preprocess, coregister

Installs the package published on PyPI directly — no need to clone the source.

pip install "intensity-normalization[plot]" # histogram plotting

Installs the package published on PyPI directly — no need to clone the source.

✅ After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Python

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install intensity-normalization # or: uv add intensity-normalization

Installs the package published on PyPI directly — no need to clone the source.

pip install "intensity-normalization[ants]" # ravel registration, preprocess, coregister

Installs the package published on PyPI directly — no need to clone the source.

pip install "intensity-normalization[plot]" # histogram plotting

Installs the package published on PyPI directly — no need to clone the source.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.