RadQy is a quality assurance and evaluation tool for quantitative assessment of MRI and CT imaging data.
It computes a variety of image quality metrics (IQMs) to assist with downstream image analysis, machine learning, and radiomic studies.
Features: - Computes over 30 image quality metrics - Supports T1w, T2w, and CT modalities - UMAP visualization of quality trends - CLI for batch processing
Installation
From GitHub (latest version):
pip install git+https://github.com/viswanath-lab/RadQy.git
From PyPI (stable, may lag behind):
pip install radqy
Usage
Run from command line:
radqy --modality T1w --input my_scan.nii.gz
Citation
If you use this software, please cite the corresponding paper (coming soon).
Release files for radqy 2025.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| radqy-2025.3.2.tar.gz | 17.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| radqy-2025.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.8 kB
Release files / radqy-2025.3.2.tar.gz
| Download URL | radqy-2025.3.2.tar.gz |
|---|---|
| Size | 17.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.20
|
Release files / radqy-2025.3.2-py3-none-any.whl
| Download URL | radqy-2025.3.2-py3-none-any.whl |
|---|---|
| Size | 18.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.20
|
