Skip to main content

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

Project description

https://circleci.com/gh/nipreps/sdcflows.svg?style=svg Latest Version

SDCflows (susceptibility distortion correction workflows) is a library of workflows to correct for distortions typically remaining after reconstruction in images acquired with EPI (echo-planar imaging) MR schemes. It 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 the CRN.

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-1.2.2.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

sdcflows-1.2.2-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file sdcflows-1.2.2.tar.gz.

File metadata

  • Download URL: sdcflows-1.2.2.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4

File hashes

Hashes for sdcflows-1.2.2.tar.gz
Algorithm Hash digest
SHA256 adcdb6d1e7fc005bee0dd27d739078e8ec3ef4172a48cbed67536397aa828f38
MD5 25c7c2d3c9120892d7913c9a13efdbbf
BLAKE2b-256 85e43939be1de6d1a7ea57065eb50874da2678691df1f45294454dd85c99a834

See more details on using hashes here.

Provenance

File details

Details for the file sdcflows-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: sdcflows-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4

File hashes

Hashes for sdcflows-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 229c5b5a67c33731bcad023f040e635d1b724dcb176b8412ad4b348936f9291c
MD5 2fec955ddaae042e22ca1647f166443f
BLAKE2b-256 c75844220e137cec01a3642f3f13a1181b2a480f82c65dda16a09d6f349953ca

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