zeaΒΆ

Welcome to the documentation for the zea package: A Toolbox for Cognitive Ultrasound Imaging.

zea is a Python library that offers ultrasound signal processing, image reconstruction, and deep learning. Currently zea offers:

  • A flexible ultrasound signal processing and image reconstruction Pipeline written in your favorite deep learning framework.

  • A complete set of Data loading tools for ultrasound data and acquisition parameters, designed for deep learning workflows.

  • A collection of pretrained Models for ultrasound image and signal processing.

  • A set of action selection functions for cognitive ultrasound in the Agent module.

  • Multi-Backend Support via Keras3: You can use PyTorch, TensorFlow, or JAX.

Check out the About page for more information and the motivation behind zea. For any questions or suggestions, please feel free to open an issue on GitHub. If you want to contribute, check out the Contributing guide.

Beta!

This package is highly experimental and under active development. It is mainly used to support our research and as a basis for our publications. That being said, we are happy to share it with the ultrasound community and hope it will be useful for your research as well.

Note

If you use zea in your research, please consider the citation details here.