Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging
Cardiotensor is an open-source Python package designed to quantify 3D cardiomyocyte orientation in whole- or partial-heart imaging datasets. It provides scalable implementations of structure tensor analysis and tractography for teravoxel-scale datasets, enabling extraction of directional metrics such as helical angle (HA), intrusion angle (IA), and fractional anisotropy (FA).
Authors
- Joseph Brunet (ORCID: https://orcid.org/0000-0002-8424-9510)
- Vaishnavi Sabarigirivasan (ORCID: https://orcid.org/0000-0003-2550-6262)
- Andrew C. Cook (ORCID: https://orcid.org/0000-0001-5079-7546)
- Matthieu Chourrout
- Hector Dejea (ORCID: https://orcid.org/0000-0003-2584-9812)
- Peter Lee (ORCID: https://orcid.org/0000-0002-3898-8881)
- Lisa Chestnutt
Institutions
- European Synchrotron Radiation Facility (FR)
- Research Complex at Harwell (GB)
- University College London (GB)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2026-05-02
- DOI
- https://doi.org/10.21105/joss.09720
- Citations
- 1
- Primary Topic
- Congenital heart defects research
- Type
- article
- Field-Weighted Citation Impact
- 0.00