Skip to main content

Python tools for diffusion tractography visualization

Project description

pyTractoViz

ci documentation pypi version

Python tools for diffusion tractography visualization and QC reporting.

Installation

pip install pytractoviz

With uv:

uv tool install pytractoviz

Quick start

Interactive 3D review of tract files:

pytractoviz interactive /path/to/bundles --ref /path/to/T1w.nii.gz

Batch QC pipeline for a subject (PYAFQ + qsirecon layout):

export PYTRACTOVIZ_TRACTOGRAPHY_ROOT=/path/to/tractography
pytractoviz run sub-0000 UNC -j 4

Regenerate reports without re-running the pipeline:

pytractoviz html /path/to/qc_data.json
pytractoviz group-html /path/to/QC
pytractoviz group-interactive UNC=/path/to/QC

Documentation

Full usage guide, path configuration, and API reference:

https://mcw-meier-lab.github.io/pytractoviz/

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

pytractoviz-0.6.6.tar.gz (158.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pytractoviz-0.6.6-py3-none-any.whl (94.4 kB view details)

Uploaded Python 3

File details

Details for the file pytractoviz-0.6.6.tar.gz.

File metadata

  • Download URL: pytractoviz-0.6.6.tar.gz
  • Upload date:
  • Size: 158.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pytractoviz-0.6.6.tar.gz
Algorithm Hash digest
SHA256 684a76763e78eab15fb5796aba9339d4b6ab32ea075b126b5adde5e5dbd28efa
MD5 50b5de298790ba2cc2a034c8208e0a8e
BLAKE2b-256 453163c9d357c51859981ab6bc5bfae361b054c7d4d9f3026dabd1212d94ffd0

See more details on using hashes here.

File details

Details for the file pytractoviz-0.6.6-py3-none-any.whl.

File metadata

  • Download URL: pytractoviz-0.6.6-py3-none-any.whl
  • Upload date:
  • Size: 94.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pytractoviz-0.6.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e6e8fc8afdb76cc61a73a3b4ea670d8ebf51e8a77e1af520ae1e3a8621736928
MD5 98c7af44db0a311b65b46907c5519fe4
BLAKE2b-256 c31d24afd8cc56091c46349dcd3925eebb122f7f8113e9f98aa2038caca28fa9

See more details on using hashes here.

Supported by

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