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

This version

2.0.0rc2 pre-release

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-2.0.0rc2.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

sdcflows-2.0.0rc2-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file sdcflows-2.0.0rc2.tar.gz.

File metadata

  • Download URL: sdcflows-2.0.0rc2.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/4.54.1 CPython/3.7.4

File hashes

Hashes for sdcflows-2.0.0rc2.tar.gz
Algorithm Hash digest
SHA256 94aaab339ec3951c0289c9353a492b71ea745d8d936358e60c972e2026fc98be
MD5 67fa5e4278a3ba6bd9d3b441deb5359c
BLAKE2b-256 5528bf5a9c7378075bb7d822647059721b513c03cca0c2905c61c2bcdfd43c4c

See more details on using hashes here.

Provenance

File details

Details for the file sdcflows-2.0.0rc2-py3-none-any.whl.

File metadata

  • Download URL: sdcflows-2.0.0rc2-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/4.54.1 CPython/3.7.4

File hashes

Hashes for sdcflows-2.0.0rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 2b0feeaccc5f94cb4d6ce9be8e10bfe6f1df1aecdcf5d69520e21d92471537bd
MD5 f8d588a44f9408444fd37c54697d2259
BLAKE2b-256 826e5bf692940439e41236c122e0cd658d3f3a8986069c06aca93d3c94706cae

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