Clinical Need
Reliable segmentation is the starting point for cardiovascular analysis
Consistent vessel and cardiac structure boundaries help users review downstream visualization, quantification, and analysis outputs.
AutoSeg
Software for coronary artery and heart segmentation and analysis using CT
510(k) ApprovalMFDS Class II Certification
Advantages of AutoSeg
Semi-Automatic Software Platforms
60 Minutes
• Volume Rendering
• LAD,LCX and RCA Manual Capture
• Vessel Stenosis
• Plaque Analysis
• Calcium Scoring
• TAVI
Fully-Automatic Software AutoSeg
10 Minutes
• Volume Rendering
• LAD,LCX and RCA Automated Capture
• Vessel Stenosis
• Plaque Analysis
• Calcium Scoring
• TAVI
• Fat Atteuntion Index
• Cinematic Rendering
• Left Artrial Wall Thickness
Fully Automated Segmentation
Fast Results (within 10 Minutes)
Comprehensive Analysis Features
Provides Essential Clinical Insights
Key Features of AutoSeg
01
Automated Coronary Artery and Heart Segmentation
02
Coronary Artery Stenosis Degree Calculation
03
Automated Coronary Artery Calcium Score Calculation
04
TAVI planning
05
Left Atrial Wall Thickness Calculation
06
Automated Coronary Artery Plaque Analysis
01
Automated Coronary Artery and Heart Segmentation
02
Coronary Artery Stenosis Degree Calculation
03
Automated Coronary Artery Calcium Score Calculation
04
TAVI planning
05
Left Atrial Wall Thickness Calculation
06
Automated Coronary Artery Plaque Analysis
Clinical Evidence
AutoSeg Lumen and Plaque Volume Vaildation
AutoSeg vs IVUS
r†
95% CI
P value
Lumen volume
0.92
0.83–0.97
< 0.001
Plaque volume
0.85
0.68–0.93
< 0.001
CI=confidence interval; ICC=intraclass correlation coefficient; r† = Pearson correlation coefficient of the lumen or palque volume based on the IVUS data
RESULT
AutoSeg demonstrates high accuracy in automated lumen and plaque segmentation
Lumen Volume Pearson Correlation Coefficient
0.92
Plaque Volume Pearson Correlation Coefficient
0.85
AutoSeg Deep Learning-Based Coronary Artery Calcium Score
AutoSeg automatically and accurately calculates the coronary artery calcium score from contrast-enhanced CT images
Internal Validation
External Validation
Result
High Accuracy in Coronary Artery Calcium Volume and Score Calculation
Pearson Correlation Coefficient for Calcium Volume (Internal Validation)
0.97
Pearson Correlation Coefficient for Calcium Score (Internal Validation)
0.97
Pearson Correlation Coefficient for Calcium Volume (External Validation)
0.91
Pearson Correlation Coefficient for Calcium Score (External Validation)
0.86
AutoSeg Product Information
Automated cardiac CT segmentation and analysis workflow
AutoSeg supports coronary artery and cardiac structure segmentation from CT images, helping structure repetitive imaging analysis work.
Users
Healthcare and research users performing image analysis
Automated segmentation outputs should be reviewed and, when needed, adjusted within the user workflow.
Input Data
Cardiac CT and coronary CT image data
Acquisition conditions, slice thickness, motion, and contrast can affect how outputs should be reviewed.
Output
Coronary and cardiac structure segmentation with quantitative analysis support
Automated segmentation can reduce analysis preparation time, while quality review remains part of the workflow.
Evidence and Verification Points
Product capability statements become stronger when they connect to research output, certification material, and official user documentation.
Common Questions
Which workflow does AutoSeg target?
It targets repetitive segmentation and analysis preparation steps in cardiac CT image workflows.
Can segmentation output be used without review?
No. Image quality and patient-specific conditions vary, so output review and correction should remain available.
Which search intents are covered?
Automated cardiac CT segmentation, coronary segmentation, medical imaging AI, and cardiovascular imaging software intents.
Content update: 2026-07-20. Certification or intended-use claims should be expanded only after official documents and market-specific regulatory status are verified.
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