mri_distortion_toolkit
This code enables characterization, reporting, and correction of geometric distortion in Magnetic Resonance Imaging.
The workflow steps are below. All steps have well defined input/output so you can use any part of this code independently from the other parts. For an example of our automated reporting template see here
Setup/Build/Install
pip install mri_distortion_toolkit
Usage
Detailed documentation is here.
Directory Structure
- docsrc markdown/rst source documentation
- tests test cases
- mri_distortion_toolkit source code
- examples source code for the worked examples
1 maintainer
Metadata
1 maintainer
Release files for mri-distortion-toolkit 0.14.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mri_distortion_toolkit-0.14.10.tar.gz | 69.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mri_distortion_toolkit-0.14.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 136.6 kB
Release files / mri_distortion_toolkit-0.14.10.tar.gz
| Download URL | mri_distortion_toolkit-0.14.10.tar.gz |
|---|---|
| Size | 69.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / mri_distortion_toolkit-0.14.10-py3-none-any.whl
| Download URL | mri_distortion_toolkit-0.14.10-py3-none-any.whl |
|---|---|
| Size | 67.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/5.0.0 CPython/3.9.18
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