Snakes based segmentation of the common carotid artery intima media

Snakes based segmentation of the common carotid artery intima media
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DOI:
10.1007/s11517-006-0140-3
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发表时间:
2007-01-01
影响因子:
3.2
通讯作者:
Nicolaides, A.
Nicolaides, A.
中科院分区:
工程技术3区
文献类型:
--
作者:
Loizou, C. P.;Pattichis, C. S.;Nicolaides, A.

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人颈动脉壁的超声测量通常通过手动追踪组织层之间的界面来获得。在这项研究中,我们提出了一种蛇分割技术,用于检测颈总动脉(CCA)的远壁的纵向超声图像中的内膜-中层,通过应用蛇,规范化后,斑点减少,规范化和斑点减少。所提出的技术采用了改进的蛇初始化方法,和改进的分割方法的验证。我们已经测试和临床验证了100纵向超声图像的颈动脉的两个血管专家的手动测量的基础上,和一组不同的评价标准的统计措施和单变量统计分析的分割技术。结果表明,所有蛇类分割测量值与人工测量值无显著性差异。对于标准化的去斑点图像,更好的蛇分割结果,观察者内误差为0.08,变异系数为12.5%,最佳Bland-Altman图,专家之间的差异较小(专家1和专家2分别为0.01,0.09),Hausdorff距离为5.2。因此,预处理的颈动脉超声图像的归一化和斑点减少,其次是蛇分割算法可以成功地用于测量IMT补充手动测量。目前的结果是一个扩展的数据发表在IFMBE会议记录的扩展摘要。
Ultrasound measurements of the human carotid artery walls are conventionally obtained by manually tracing interfaces between tissue layers. In this study we present a snakes segmentation technique for detecting the intima-media layer of the far wall of the common carotid artery (CCA) in longitudinal ultrasound images, by applying snakes, after normalization, speckle reduction, and normalization and speckle reduction. The proposed technique utilizes an improved snake initialization method, and an improved validation of the segmentation method. We have tested and clinically validated the segmentation technique on 100 longitudinal ultrasound images of the carotid artery based on manual measurements by two vascular experts, and a set of different evaluation criteria based on statistical measures and univariate statistical analysis. The results showed that there was no significant difference between all the snakes segmentation measurements and the manual measurements. For the normalized despeckled images, better snakes segmentation results with an intra-observer error of 0.08, a coefficient of variation of 12.5%, best Bland-Altman plot with smaller differences between experts (0.01, 0.09 for Expert1 and Expert 2, respectively), and a Hausdorff distance of 5.2, were obtained. Therefore, the pre-processing of ultrasound images of the carotid artery with normalization and speckle reduction, followed by the snakes segmentation algorithm can be used successfully in the measurement of IMT complementing the manual measurements. The present results are an expansion of data published earlier as an extended abstract in IFMBE Proceedings.