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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

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