Skip to main content

Nifti Overlay

Nifti Overlay is a Python program for creating visualizations of 3D volumetric neuorimaging data. It specifically creates tiled images of one or more images overlaid on top of one of another.

Here is an example output image, showing a registered PET image on top of a T1-weighted MRI:

PET image on T1 MRI

Why use this package?

I wrote this package to help with quality control for neuroimaging preprocessing pipelines. Most of the images I worked with were stored remotely, and it was fairly infeasible to look at them interactively. I wrote (a prototype) of this package in order to generate quick snapshots of various steps of the pipeline. For example, I would check the overlap of an automatically generated brain mask against the brain. Or look at the alignment of two registered images.

So, if you want to quickly generate a picture that shows a lot of the brain, maybe this will be helpful.

Installation

Nifti Overlay can be installed from PyPI:

pip install nifti_overlay

See the releases page for information about the most current release.

Documentation

Check out the documentation: https://nifti-overlay.readthedocs.io/en/latest/.

License

Open source under MIT.

Metadata

Release files for nifti-overlay 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nifti-overlay 0.0.1
File Size Uploaded Provenance Actions
nifti_overlay-0.0.1.tar.gz 21.6 kB Without provenance Details for nifti_overlay-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for nifti-overlay 0.0.1
File Interpreter ABI Platform Actions
nifti_overlay-0.0.1-py3-none-any.whl Python 3 none any Details for nifti_overlay-0.0.1-py3-none-any.whl

Total release size: 41.8 kB

Release files / nifti_overlay-0.0.1.tar.gz

Download URL nifti_overlay-0.0.1.tar.gz
Size 21.6 kB
Tags Source
SHA-256 checksum
How to use checksums
3f6e8f4fc6442e84ec31c83824abe92fe28206343e57b038a11ee4de0bf65b91
BLAKE2b-256 checksum
How to use checksums
19e413414612be1bceeae3dc3a4e319243b7d010305a45ccdbc78d868c1860d7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.8

Release files / nifti_overlay-0.0.1-py3-none-any.whl

Download URL nifti_overlay-0.0.1-py3-none-any.whl
Size 20.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5c63229be60eee1ca9917d8be91b0022607a806dda84a245cf43aaaf9285a222
BLAKE2b-256 checksum
How to use checksums
f519f1ba29917d25595ee9860b69dd80770e69ba6bd31cea46f941de1ce40b38
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.8

Security for nifti-overlay 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page