Zerodose
A tool to assist in personalized abnormality investigation in combined FDG-PET/MRI imaging. Created by the department of Clinically Applied Artificial Intelligence at Copenhagen University Hospital
Installation
Note that a python3 installation is required for Zerodose to work. You can install Zerodose via pip from PyPI:
$ pip install zerodose
Usage
Synthesize baseline PET
$ zerodose syn -i mr.nii.gz -m brain_mask.nii.gz -o sb_pet.nii.gz
Create abnormality map
$ zerodose abn -p pet.nii.gz -s sb_pet.nii.gz -m brain_mask.nii.gz -o abn.nii.gz
Please see the Command-line Reference for details.
Hardware requirements
- TODO
Issues and contributing
Contributions are very welcome. If you encounter any problems, please file an issue along with a description.
Release files for zerodose 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zerodose-0.0.6.tar.gz | 17.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zerodose-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.8 kB
Release files / zerodose-0.0.6.tar.gz
| Download URL | zerodose-0.0.6.tar.gz |
|---|---|
| Size | 17.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
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Release files / zerodose-0.0.6-py3-none-any.whl
| Download URL | zerodose-0.0.6-py3-none-any.whl |
|---|---|
| Size | 22.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
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