saxomode is an open-source toolkit for 3D ventricular shape analysis from cardiac magnetic resonance short axis view medical images.
It provides an end-to-end pipeline for generating, aligning, and analyzing ventricular point clouds, including principal component analysis (PCA) and mesh generation.
- Source code: https://github.com/ComputationalPhysiology/MAD-SSA.git
- Documentation: https://computationalphysiology.github.io/MAD-SSA/
Install with pip
python3 -m pip install git+https://github.com/ComputationalPhysiology/MAD-SSA.git
If you use saxomode in your research project we would appreciate if you could use the following citation
@inproceedings{monopoli2025arrhythmic,
title={Arrhythmic Mitral Valve Syndrome: Insights from Left Ventricular End-Systolic Shape Analysis},
author={Monopoli, Giulia and Sadeghinia, Mohammad Javad and Westrum Aabel, Eivind and Ribe, Margareth and Castrini, Anna Isotta and Hasselberg, Nina and Bugge, Cecilie and Five, Christian and Haugaa, Kristina and Balaban, Gabriel and others},
booktitle={International Conference on Functional Imaging and Modeling of the Heart},
pages={26--36},
year={2025},
organization={Springer}
}
MIT