Coronary Analysis and Reporting System (CARS) uses artificial intelligence to provide an accurate and comprehensive evaluation of coronary arteries using a systematic approach for coronary CTA analysis.
CARS enables fast and automated coronary segmentation and labeling, which facilitates the reconstruction of arterial structures and displays in a variety of image formats.
Multiple analysis modules are integrated into this post-processing system for more efficient and accurate pathological findings.
Features of Coronary Analysis and Reporting System
Fast and automated reconstruction of the 3D coronary vascular tree structure
Vessel segment labeling and color-coding helps doctors accurately describe the locations of pathological findings
A variety of analysis modules are integrated into this post-processing workstation for more efficient and accurate pathological assessment. This includes:
- Plaque detection and classification
- Stenosis measurement
- Myocardial bridge/stent detection
- Dominance determination
- Origin/course anomalies warning
Stores reports and reconstructed/processed/labeled images displaying identified pathology in PACS for later retrieval
Automated lesion detection and segmentation allows further quantitative analysis results, including:
- Luminal and vessel diameter
- Stenosis degree and length
- Plaque volume
- Composition analysis
- Plaque burden
Quantitative analysis results and descriptions of plaques are provided and arranged according to the major coronary branch systems. Measurement changes throughout a branch are displayed in a graph to facilitate pathological findings
Workflow of Coronary Analysis and Reporting System
Collaborate with us
We are recruiting collaboration partners in the US to help bring CARS to clinical use. If you are interested in learning more about potential collaboration opportunities, please contact us.