Skip to main content

Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes.

Project description

Latest Version https://codecov.io/gh/nipreps/sdcflows/branch/master/graph/badge.svg?token=V2CS5adHYk https://circleci.com/gh/nipreps/sdcflows.svg?style=svg https://github.com/nipreps/sdcflows/workflows/Deps%20&%20CI/badge.svg

SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library of NiPype-based workflows to preprocess B0 mapping data, estimate the corresponding fieldmap and finally correct for susceptibility distortions. Susceptibility-derived distortions are typically displayed by images acquired with EPI (echo-planar imaging) MR schemes.

The library is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input.

This open-source neuroimaging data processing tool is being developed as a part of the MRI image analysis and reproducibility platform offered by NiPreps.

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

sdcflows-2.4.3.tar.gz (9.9 MB view details)

Uploaded Source

Built Distribution

sdcflows-2.4.3-py3-none-any.whl (10.0 MB view details)

Uploaded Python 3

File details

Details for the file sdcflows-2.4.3.tar.gz.

File metadata

  • Download URL: sdcflows-2.4.3.tar.gz
  • Upload date:
  • Size: 9.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for sdcflows-2.4.3.tar.gz
Algorithm Hash digest
SHA256 08e62bf46c595f4d02492140d5dae0bd2c9fa37ca60d29589574291fb386d2e5
MD5 c11734c92d7f452ce084976e8eb34e73
BLAKE2b-256 da4bc02f470ed05135bd5dc36ab4d196c796e9061565099286c8c45759358d6d

See more details on using hashes here.

Provenance

File details

Details for the file sdcflows-2.4.3-py3-none-any.whl.

File metadata

  • Download URL: sdcflows-2.4.3-py3-none-any.whl
  • Upload date:
  • Size: 10.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for sdcflows-2.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b60eaddd7b587a83cd2f8b98a1dd09d0f1427415f7591944c34f4e4782634164
MD5 4ab9046479ad399b66f82c9ffca5d19b
BLAKE2b-256 565657432ff502d34da2cc605d127099b2d3a9325864e5f339665eed4450fdca

See more details on using hashes here.

Provenance

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