Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes.
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sdcflows-2.0.12-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b837cfad4dae68d7fc683b003adf612f05c50de91866c6fe3f80613c6fcc4116 |
|
MD5 | 0b8a15580f0b61295a33b87892c029e7 |
|
BLAKE2b-256 | 90535e791f0f84579e31b049a726723cacc3b7a753efa495d7c65e75b5662e4b |