Multi-step Vessel Segmentation for Coronary Stenosis Measurement
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Solution Overview
Problem
Current vessel segmentation techniques in medical imaging, particularly for coronary arteries, face challenges in achieving high accuracy for stenosis measurement and vessel lumen diameter calculation, especially in tortuous vessels and eccentric lesions, leading to inaccurate measurements.
Innovation Solution
A multi-step vessel segmentation method using a branch detection algorithm followed by piecewise edge detection, combined with enhanced centerline calculation and averaging over multiple images, to create a precise composite vessel outline, enabling accurate stenosis measurement and automatic registration with anatomical atlases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-step vessel segmentation algorithm is used, then the processing speed is faster, but the measurement precision deteriorates
Solution Approach 1:
The patent divides the vessel segmentation process into multiple sequential steps: initial vessel segmentation to obtain a rough vessel outline, followed by piecewise edge detection applied to segmented portions of the vessel. This multi-stage segmentation approach improves measurement precision by refining the vessel boundary detection in stages rather than attempting single-step segmentation, directly resolving the contradiction between accuracy and complexity.
2Measurement precision
If manual tracing is used for vessel segmentation, then the measurement precision is high, but the productivity deteriorates
Solution Approach 1:
The system performs automated vessel segmentation and centerline calculation without requiring manual tracing by operators. The computer executes algorithms that automatically identify vessel boundaries, calculate centerlines, and compute lumen diameters, enabling the system to serve itself rather than relying on manual intervention. This resolves the contradiction by achieving both high precision through sophisticated algorithms and high productivity through automation.
Solution Approach 2:
The patent replaces manual mechanical tracing with automated computational algorithms. Instead of operators manually tracing vessel boundaries on images, the system uses computer-based image processing algorithms including vessel segmentation, edge detection, and centerline calculation to automatically determine vessel geometry, thereby eliminating manual labor while maintaining or improving measurement accuracy.
3Measurement precision
If conventional edge detection is applied to entire vessel, then the processing time is shorter, but the measurement precision deteriorates
Solution Approach 1:
The patent applies piecewise edge detection by first dividing the vessel into multiple segments based on the initial segmentation result, then applying edge detection algorithms to each segment separately rather than to the entire vessel at once. This segmented approach improves edge detection accuracy by focusing computational resources on local features while reducing the overall processing time compared to applying high-precision edge detection uniformly across the entire vessel.
Solution Approach 2:
The system applies different processing strategies to different portions of the vessel based on local characteristics. By performing piecewise edge detection on segmented vessel portions and using local centerline calculations, the system adapts the level of processing detail to local requirements, improving overall measurement precision without uniformly increasing processing time across the entire vessel.
Data Source
AI summary
Multi-step vessel segmentation and analysis is provided. In various embodiments, a branch detection algorithm is applied to a medical image to determine a plurality of branches of a blood vessel appearing in the medical image. A plurality of segments of the blood vessel appearing in the medical image is determined. Each of the plurality of segments is bounded by one of the plurality of branches. An edge detection algorithm is applied piecewise to each of the plurality of segments. A composite blood vessel outline is formed from the piecewise edge detection.