ultraspy 1.2.1

Ultrasound toolbox for GPU

What is ultraspy?

Ultraspy is a package designed to efficiently manipulate ultrasound data using GPU. The most common beamforming or Doppler methods are implemented (such as DAS, RF to I/Qs, Color/Power Doppler, ...), along with some state-of-the-art methods (Capon beamforming, Vector Doppler, alias-free Doppler velocity, ...). A set of metrics (PSL, FWHM, SNR) is also provided so anyone can validate the quality of their ultrasound data and beamforming operations.

The package is designed to work with both RF and I/Q signals, in 2D or 3D, and with any type of probe (linear, convex, or matrix). The core code can run both on CPU and GPU, making it ideal for any real-time application. All beamforming parameters (f-number, compounding, apodization…) can be freely customized at any time for research purposes.

The package has been thought to be as flexible as possible, so that anyone could eventually clone it and add its own research methods and test it in real time. A set of tutorials is provided to facilitate user learning and adoption, along with some instruction on how to contribute to the lib if you feel like your research method should be added to help the community.

Features

• General beamforming methods, flexible to Radio-Frequency or In-phase Quadrature data, working on CPU and GPU. Mainly DAS and FDMAS for the plane-wave imaging, but also TFM for Beam Focusing imaging

• Advanced beamforming methods (p-DAS or Capon), with a dedicated tutorial to understand how these are implemented and how to implement your own methods

• Basic Doppler methods (Color and Power maps), and their dedicated utilities functions (matched filtering, RF to I/Qs conversion)

• Advanced Doppler methods, such as a proposition for alias-free alias-free Doppler velocities (using dual-wavelength method). This still lacks of methods, and should include Vector Doppler or so in future releases

• Basic metrics for evaluation of the data quality (SNR), or of our beamforming algorithms (FWHM, PSL, CNR)

Documentation

Full documentation can be found in the 'docs' folder, and is also available at https://ultraspy.readthedocs.io/en/latest. You will find there all the detailed information about how to install ultraspy and how to use it.

Installation

Installation can be easily done using pypi:

.. code-block:: console

$ pip install ultraspy

Also, if you want to run it on GPU, you need to install the proper version of cupy based on your CUDA version:

.. code-block:: console

$ pip install cupy-cudaXXx

Contribute

• Issue Tracker: https://gitlab.com/pecarlat/ultraspy/-/issues/

• Source Code: https://gitlab.com/pecarlat/ultraspy

• Documentation: https://ultraspy.readthedocs.io/en/latest

License

The project is under the MIT license.