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首页> 中文期刊> 《中国生物医学工程学报：英文版》 >Automated Contour Detection for Intravascular Ultrasound Image Sequences Based on Fast Active Contour Algorithm

Automated Contour Detection for Intravascular Ultrasound Image Sequences Based on Fast Active Contour Algorithm

         
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摘要

Intravascular ultrasound can provide high-resolution real-time cross-sectional images about lumen, plaque and tissue. Traditionally, the luminal border and medial-adventitial border are traced manually. This process is extremely time-consuming and the subjective difference would be large. In this paper, a new automated contour detection method is introduced based on fast active contour model. Experimental results found that lumen and vessel area measurements after automated detection showed good agreement with manual tracings with high correlation coefficients (0.94 and 0.95, respectively) and small system difference (-0.32 and 0.56, respectively). So it can be a reliable and accurate diagnostic tool.

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