ustb 0.0.2

Python reimplementation of the UltraSound ToolBox (USTB) for beamforming, processing, and visualization of ultrasonic signals.

USTB for Python

Python reimplementation of the UltraSound ToolBox (USTB) — an open-source toolbox for beamforming, processing, and visualization of ultrasonic signals.

Installation

pip install ustb

For development:

pip install -e ".[dev]"

Quick Start

from pyuff_ustb.objects.uff import Uff
from ustb.midprocess import DAS
from ustb.enums import Dimension, Window

# Read channel data from UFF file
channel_data = Uff("data.uff").read("channel_data")

# Set up beamformer (same API as MATLAB)
mid = DAS()
mid.channel_data = channel_data
mid.scan = scan
mid.dimension = Dimension.both
mid.transmit_apodization.window = Window.scanline
mid.receive_apodization.window = Window.none

# Beamform
b_data = mid.go()

# Plot scan-converted B-mode image
b_data.plot(title="My Image")

Features

• midprocess.DAS — Generalized Delay-And-Sum beamformer
• preprocess.FastDemodulation — RF to IQ conversion
• postprocess.CoherenceFactor — Mallart-Fink coherence factor
• postprocess.Median — 2D median filter for speckle reduction
• Scan-converted display — sector and linear scan visualization
• UFF I/O — reads/writes USTB UFF files via pyuff-ustb

Examples

See the examples/ directory:

• minimal_example.py — cardiac phased array imaging
• maximal_example.py — full pipeline (demod → DAS → CF → median)
• cpwc_linear.py — plane wave compound imaging
• picmus_*.py — PICMUS challenge datasets

Relationship to MATLAB USTB

This package mirrors the MATLAB USTB API as closely as possible. The main classes (DAS, Dimension, Window, Apodization) use the same names, properties, and method signatures. Beamformed output matches MATLAB with >0.999 correlation across all tested examples.