This directory contains tutorial examples demonstrating mach capabilities. Each example is designed to work with sphinx-gallery for automatic documentation generation.
- doppler.py: Power Doppler beamforming tutorial using PyMUST rotating disk data. Demonstrates GPU-accelerated beamforming for motion detection applications.
- plane_wave_compound.py: Plane wave compounding with PICMUS challenge data. Demonstrates coherent compounding of multiple plane wave angles for improved image quality.
Recommended Installation:
To run all examples without dependency issues, we recommend installing mach with all optional dependencies:
pip install mach-beamform[all]
This includes all visualization, data loading, and example-specific dependencies.
Additional common dependencies:
matplotlib: Required for visualizationsnumpy: Basic array operations
Example-specific dependencies:
- doppler.py requires
pymustto load example data and demodulate RF to IQ (pip install pymust) - plane_wave_compound.py requires
pyuff-ustbto load example data (pip install pyuff-ustb)