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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for mgxd from gravatar.com mgxd Avatar for nipreps from gravatar.com nipreps Avatar for oesteban from gravatar.com oesteban

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for mgxd from gravatar.com mgxd Avatar for nipreps from gravatar.com nipreps Avatar for oesteban from gravatar.com oesteban

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.10.0

2.9.0

2.8.1

2.8.0

2.7.0

2.6.0

2.5.2

2.5.1

2.5.0

2.4.3

2.4.2

2.4.1

2.4.0

2.3.0

2.2.2

2.2.1

2.2.0

2.1.1

2.1.0

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2.post1

2.0.2

2.0.1

2.0.0

2.0.0rc5 pre-release

2.0.0rc4 pre-release

2.0.0rc3 pre-release

2.0.0rc2 pre-release

This version

2.0.0rc1 pre-release

1.4.0rc0 pre-release

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.3 yanked

1.2.2

1.2.1

1.2.0

1.1.0

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0rc1 pre-release

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sdcflows-2.0.0rc1.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

sdcflows-2.0.0rc1-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file sdcflows-2.0.0rc1.tar.gz.

File metadata

  • Download URL: sdcflows-2.0.0rc1.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.4

File hashes

Hashes for sdcflows-2.0.0rc1.tar.gz
Algorithm Hash digest
SHA256 1b7275065abda3ce2fb8dfc6f7a821c22e79558bb39f76e77390dc10073467f3
MD5 c462e77244fdb7d3658d105008575842
BLAKE2b-256 87a50476f7e8d9c63852a1143c85e4860346817e7ecb1e732ce910db65f4142d

See more details on using hashes here.

Provenance

File details

Details for the file sdcflows-2.0.0rc1-py3-none-any.whl.

File metadata

  • Download URL: sdcflows-2.0.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.4

File hashes

Hashes for sdcflows-2.0.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 7795bc0d9c5e4eedecf42c3fa375bd2ca15bb5d49b4918411fe5e23d07da0767
MD5 3e8653be99ba02208e9464f1eccc7148
BLAKE2b-256 d08d7dcc15e16214307b7702b67e858defef910f4fd79bf1debdf32abf1d1b55

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