AIVUS-CAA documentation

AIVUS-CAA: Automated IntraVascular UltraSound image processing and coronary artery analysis.

AIVUS-CAA is a Python application for intravascular ultrasound (IVUS) image processing. It enables frame-by-frame inspection of IVUS sequences and quantitative analysis of lumen contours. Users can manually draw contours or use automatic tools to measure lumen area and other metrics.

Warning

This software is provided as is, for research use only. Users should independently verify all results.

Getting Started

• Key Features
• Installation

User Guide

• Usage
• Tutorial
• Video Walkthrough

Reference

• Architecture Overview
• Contributing to the project
• Changelog
• Related Projects
• Github

License

This package is covered by the open source MIT License.

Developers

• Anselm Stark^1,2

• Sebastian Balzer^1,2

• Pooya Mohammadi Kazaj^1,2

• Isaac Shiri¹

¹Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Switzerland ²Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland

Contributing

We’d welcome your contributions to AIVUS-CAA. Please read the contributing guidelines on how to contribute to multimodars.

Indices and tables

• Index

• Search Page