RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.
Project description
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).
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