niimetric 0.1.1

Evaluate image quality metrics (SSIM, MAE, LPIPS, PSNR) for NIfTI images

NiiMetric

A Python CLI tool for evaluating image quality metrics between NIfTI (.nii/.nii.gz) images.

Features

• SSIM - Structural Similarity Index
• PSNR - Peak Signal-to-Noise Ratio
• MAE - Mean Absolute Error
• LPIPS - Learned Perceptual Image Patch Similarity
• Auto-cropping - Automatically crops to brain region based on reference image
• CSV output - Save results to CSV file

Installation

pip install niimetric

Usage

# Single metric
niimetric -a reference.nii.gz -b image1.nii.gz --ssim -o output.csv
niimetric -a reference.nii.gz -b image1.nii.gz --psnr -o output.csv
niimetric -a reference.nii.gz -b image1.nii.gz --mae -o output.csv
niimetric -a reference.nii.gz -b image1.nii.gz --lpips -o output.csv

# All metrics
niimetric -a reference.nii.gz -b image1.nii.gz --all -o output.csv

Arguments

Argument	Description
-a, --reference	Reference NIfTI image (used for cropping boundaries)
-b, --image	Comparison NIfTI image
-o, --output	Output CSV file path
--ssim	Calculate SSIM
--psnr	Calculate PSNR
--mae	Calculate MAE
--lpips	Calculate LPIPS
--all	Calculate all metrics

License

MIT