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-1.4.0rc0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 96a430e0f837ba3394e7c57d484c7a56f5b4f98717c91243469b253291aad695 |
|
MD5 | 30e4f0e4880d2204a098c79c77b5f3f3 |
|
BLAKE2b-256 | a213a13742898509923c4bb4a42ff45cad12d233dcfbc7344adc48604ff9f3e2 |