SDCFlows¶
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.
Contents¶
- Installation
- Methods and implementation
- Library API (application program interface)
- What’s new?
- 2.0.13 (April 08, 2022)
- 2.0.12 (February 08, 2022)
- 2.0.11 (January 22, 2022)
- 2.0.10 (December 13, 2021)
- 2.0.9 (November 16, 2021)
- 2.0.8 (October 15, 2021)
- 2.0.7 (September 30, 2021)
- 2.0.6 (September 1, 2021)
- 2.0.5 (August 24, 2021)
- 2.0.4 (May 18, 2021)
- 2.0.3 (May 14, 2021)
- 2.0.2 (May 11, 2021)
- 2.0.1 (March 05, 2021)
- 2.0.0 (January 25, 2021)
- 1.3.x series
- Pre-1.3.x releases
- 1.2.2 (April 16, 2020)
- 1.2.1 (April 01, 2020)
- 1.2.0 (February 15, 2020)
- 1.1.0 (February 3, 2020)
- 1.0.6 (April 15, 2020)
- 1.0.5 (February 14, 2020)
- 1.0.4 (January 27, 2020)
- 1.0.3 (December 18, 2019)
- 1.0.2 (December 18, 2019)
- 1.0.1 (December 04, 2019)
- 1.0.0 (November 25, 2019)
- 0.1.4 (November 22, 2019)
- 0.1.3 (October 15, 2019)
- 0.1.2 (October 10, 2019)
- 0.1.1 (July 23, 2019)
- 0.1.0 (July 22, 2019)