Visualisation utilities for qmri quantitative MRI analysis
Project description
qmri-viz
Visualisation utilities for qmri quantitative MRI analysis.
Installation
pip install qmri-viz
Quick Start
from qmri.diffusion import adc
from qmri.viz import fitting, maps
# Fit data
result = adc.fit(signal, b_values)
# Plot fit diagnostics
fitting.plot_fit(signal, b_values, result)
# Display parameter map
maps.show_slice(result.adc, title="ADC Map", cmap="viridis")
Features
- Fit diagnostics — Visualise model fits with residuals
- Parameter maps — Display quantitative maps with appropriate colormaps
- Calibration plots — Phantom calibration visualisation
- Multi-slice views — Browse through 3D volumes
Design
This package provides matplotlib-based visualisation utilities. It's kept separate from the core qmri package so users who don't need plotting avoid the matplotlib dependency.
Documentation
Full documentation: https://gold-standard-phantoms.github.io/qmri
Licence
MIT
Project details
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