cardiotensor 1.1.9

Toolkit designed for quantifying and visualising 3D cardiomyocytes orientations in heart images

CardioTensor

A Python package to quantify and visualize 3D cardiomyocyte orientation in heart imaging datasets

Introduction

Cardiotensor is a user-friendly and memory-efficient toolkit designed for analyzing the orientation of cardiomyocyte fibers in large heart imaging datasets. It uses advanced image processing techniques to help researchers to accurately quantify 3D cardiomyocyte orientations with high efficiency.

Installation

Cardiotensor is published as a Python package and can be installed with pip, ideally by using a virtual environment. Open up a terminal and install cardiotensor with:

pip install cardiotensor

Documentation

Cardiotensor's documentation is available at josephbrunet.fr/cardiotensor/

Getting Started

Have a look at our simple example that runs you through all the commands of the package

More Information

This package uses the structure-tensor package to calculate the structure tensor, extending its capabilities for cardiac imaging.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! If you encounter a bug or have suggestions for new features:

• Report an Issue: Open an issue in the repository.
• Submit a Pull Request: Fork the repository, make changes, and submit a pull request.

For major changes, please discuss them in an issue first.

Contact

For questions, feedback, or support, please contact the maintainers at [[e-mail]].

Reference

If you use Cardiotensor in your research, please cite:

Primary Reference

Brunet, J., Chestnutt, L., Chourrout, M., Dejea, H., Sabarigirivasan, V., Lee, P. D., & Cook, A. C. "Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging." Journal of Open Source Software 11(121) (2026): 9720. 🗎

@article{Brunet2026,
  doi={10.21105/joss.09720},
  url={https://doi.org/10.21105/joss.09720},
  year={2026},
  publisher={The Open Journal},
  volume={11},
  number={121},
  pages={9720},
  author={Brunet, Joseph and Chestnutt, Lisa and Chourrout, Matthieu and Dejea, Hector and Sabarigirivasan, Vaishnavi and Lee, Peter D. and Cook, Andrew C.},
  title={Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging},
  journal={Journal of Open Source Software}
}

Other Papers

Brunet, J., Cook, A. C., Walsh, C. L., Cranley, J., Tafforeau, P., Engel, K., Arthurs, O., Berruyer, C., Burke O'Leary, E., Bellier, A., et al. "Multidimensional analysis of the adult human heart in health and disease using hierarchical phase-contrast tomography." Radiology 312(1) (2024): e232731. 🗎