Invention Grant
US08526699B2 Method and system for automatic detection and classification of coronary stenoses in cardiac CT volumes 有权
心脏CT体积冠状动脉狭窄自动检测和分类方法及系统

Method and system for automatic detection and classification of coronary stenoses in cardiac CT volumes
Abstract:
A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.
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